tag:crantastic.org,2005:/packages/lmomcoLatest activity for lmomco2018-09-20T13:01:42Zcrantastic.orgtag:crantastic.org,2005:TimelineEvent/796822018-09-20T13:01:42Z2018-09-20T13:01:42Zlmomco was upgraded to version 2.3.2<a href="/packages/lmomco">lmomco</a> was <span class="action">upgraded</span> to version <a href="/packages/lmomco/versions/76012">2.3.2</a><br /><h3>Package description:</h3><p>Extensive functions for L-moments (LMs) and probability-weighted moments (PWMs), parameter estimation for distributions, LM computation for distributions, and L-moment ratio diagrams. Maximum likelihood and maximum product of spacings estimation are also available. LMs for right-tail and left-tail censoring by known or unknown threshold and by indicator variable are available. Asymmetric (asy) trimmed LMs (TL-moments, TLMs) are supported. LMs of residual (resid) and reversed (rev) resid life are implemented along with 13 quantile function operators for reliability and survival analyses. Exact analytical bootstrap estimates of order statistics, LMs, and variances- covariances of LMs are provided. The Harri-Coble Tau34-squared Normality Test is available. Distribution support with "L" (LMs), "TL" (TLMs) and added (+) support for right-tail censoring (RC) encompasses: Asy Exponential (Exp) Power [L], Asy Triangular [L], Cauchy [TL], Eta-Mu [L], Exp. [L], Gamma [L], Generalized (Gen) Exp Poisson [L], Gen Extreme Value [L], Gen Lambda [L,TL], Gen Logistic [L), Gen Normal [L], Gen Pareto [L+RC, TL], Govindarajulu [L], Gumbel [L], Kappa [L], Kappa-Mu [L], Kumaraswamy [L], Laplace [L], Linear Mean Resid. Quantile Function [L], Normal [L], 3-p log-Normal [L], Pearson Type III [L], Rayleigh [L], Rev-Gumbel [L+RC], Rice/Rician [L], Slash [TL], 3-p Student t [L], Truncated Exponential [L], Wakeby [L], and Weibull [L]. Multivariate sample L-comoments (LCMs) are implemented to measure asymmetric associations.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/723382018-03-08T23:01:45Z2018-03-08T23:01:45Zlmomco was upgraded to version 2.3.1<a href="/packages/lmomco">lmomco</a> was <span class="action">upgraded</span> to version <a href="/packages/lmomco/versions/69068">2.3.1</a><br /><h3>Package description:</h3><p>Extensive functions for L-moments (LMs) and probability-weighted moments (PWMs), parameter estimation for distributions, LM computation for distributions, and L-moment ratio diagrams. Maximum likelihood and maximum product of spacings estimation are also available. LMs for right-tail and left-tail censoring by known or unknown threshold and by indicator variable are available. Asymmetric (asy) trimmed LMs (TL-moments, TLMs) are supported. LMs of residual (resid) and reversed (rev) resid life are implemented along with 13 quantile function operators for reliability and survival analyses. Exact analytical bootstrap estimates of order statistics, LMs, and variances- covariances of LMs are provided. The Harri-Coble Tau34-squared Normality Test is available. Distribution support with "L" (LMs), "TL" (TLMs) and added (+) support for right-tail censoring (RC) encompasses: Asy Exponential (Exp) Power [L], Asy Triangular [L], Cauchy [TL], Eta-Mu [L], Exp. [L], Gamma [L], Generalized (Gen) Exp Poisson [L], Gen Extreme Value [L], Gen Lambda [L,TL], Gen Logistic [L), Gen Normal [L], Gen Pareto [L+RC, TL], Govindarajulu [L], Gumbel [L], Kappa [L], Kappa-Mu [L], Kumaraswamy [L], Laplace [L], Linear Mean Resid. Quantile Function [L], Normal [L], 3-p log-Normal [L], Pearson Type III [L], Rayleigh [L], Rev-Gumbel [L+RC], Rice/Rician [L], Slash [TL], 3-p Student t [L], Truncated Exponential [L], Wakeby [L], and Weibull [L]. Multivariate sample L-comoments (LCMs) are implemented to measure asymmetric associations.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/681762017-11-08T23:01:24Z2017-11-08T23:01:24Zlmomco was upgraded to version 2.2.9<a href="/packages/lmomco">lmomco</a> was <span class="action">upgraded</span> to version <a href="/packages/lmomco/versions/65213">2.2.9</a><br /><h3>Package description:</h3><p>Extensive functions for L-moments (LMs) and probability-weighted moments (PWMs), parameter estimation for distributions, LM computation for distributions, and L-moment ratio diagrams. Maximum likelihood and maximum product of spacings estimation are also available. LMs for right-tail and left-tail censoring by known or unknown threshold and by indicator variable are available. Asymmetric (asy) trimmed LMs (TL-moments, TLMs) are supported. LMs of residual (resid) and reversed (rev) resid life are implemented along with 13 quantile function operators for reliability and survival analyses. Exact analytical bootstrap estimates of order statistics, LMs, and variances- covariances of LMs are provided. The Harri-Coble Tau34-squared Normality Test is available. Distribution support with "L" (LMs), "TL" (TLMs) and added (+) support for right-tail censoring (RC) encompasses: Asy Exponential (Exp) Power [L], Asy Triangular [L], Cauchy [TL], Eta-Mu [L], Exp. [L], Gamma [L], Generalized (Gen) Exp Poisson [L], Gen Extreme Value [L], Gen Lambda [L,TL], Gen Logistic [L), Gen Normal [L], Gen Pareto [L+RC, TL], Govindarajulu [L], Gumbel [L], Kappa [L], Kappa-Mu [L], Kumaraswamy [L], Laplace [L], Linear Mean Resid. Quantile Function [L], Normal [L], 3-p log-Normal [L], Pearson Type III [L], Rayleigh [L], Rev-Gumbel [L+RC], Rice/Rician [L], Slash [TL], 3-p Student t [L], Truncated Exponential [L], Wakeby [L], and Weibull [L]. Multivariate sample L-comoments (LCMs) are implemented to measure asymmetric associations.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/599562017-03-13T18:07:56Z2017-03-13T18:07:56Zlmomco was upgraded to version 2.2.7<a href="/packages/lmomco">lmomco</a> was <span class="action">upgraded</span> to version <a href="/packages/lmomco/versions/57391">2.2.7</a><br /><h3>Package description:</h3><p>Extensive functions for L-moments (LMs) and probability-weighted moments (PWMs), parameter estimation for distributions, LM computation for distributions, and L-moment ratio diagrams. Maximum likelihood and maximum product of spacings estimation are also available. LMs for right-tail and left-tail censoring by known or unknown threshold and by indicator variable are available. Asymmetric (asy) trimmed LMs (TL-moments, TLMs) are supported. LMs of residual (resid) and reversed (rev) resid life are implemented along with 13 quantile function operators for reliability and survival analyses. Exact analytical bootstrap estimates of order statistics, LMs, and variances- covariances of LMs are provided. The Harri-Coble Tau34-squared Normality Test is available. Distribution support with "L" (LMs), "TL" (TLMs) and added (+) support for right-tail censoring (RC) encompasses: Asy Exponential (Exp) Power [L], Asy Triangular [L], Cauchy [TL], Eta-Mu [L], Exp. [L], Gamma [L], Generalized (Gen) Exp Poisson [L], Gen Extreme Value [L], Gen Lambda [L,TL], Gen Logistic [L), Gen Normal [L], Gen Pareto [L+RC, TL], Govindarajulu [L], Gumbel [L], Kappa [L], Kappa-Mu [L], Kumaraswamy [L], Laplace [L], Linear Mean Resid. Quantile Function [L], Normal [L], 3-p log-Normal [L], Pearson Type III [L], Rayleigh [L], Rev-Gumbel [L+RC], Rice/Rician [L], Slash [TL], 3-p Student t [L], Truncated Exponential [L], Wakeby [L], and Weibull [L]. Multivariate sample L-comoments (LCMs) are implemented to measure asymmetric associations.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/562232016-10-26T15:15:12Z2016-10-26T15:15:12Zcrantastic_production tagged lmomco with ExtremeValue<a href="/users/146">crantastic_production</a> <span class="action">tagged</span> <a href="/packages/lmomco">lmomco</a> with <a href="/task_views/ExtremeValue">ExtremeValue</a>crantastic_productiontag:crantastic.org,2005:TimelineEvent/559482016-10-17T11:15:14Z2016-10-17T11:15:14Zcrantastic_production tagged lmomco with ExtremeValueTheory<a href="/users/146">crantastic_production</a> <span class="action">tagged</span> <a href="/packages/lmomco">lmomco</a> with <a href="/task_views/ExtremeValueTheory">ExtremeValueTheory</a>crantastic_productiontag:crantastic.org,2005:TimelineEvent/548952016-09-10T22:40:55Z2016-09-10T22:40:55Zlmomco was upgraded to version 2.2.5<a href="/packages/lmomco">lmomco</a> was <span class="action">upgraded</span> to version <a href="/packages/lmomco/versions/52678">2.2.5</a><br /><h3>Package description:</h3><p>Extensive functions for L-moments (LMs) and probability-weighted moments (PWMs), parameter estimation for distributions, LM computation for distributions, and L-moment ratio diagrams. Maximum likelihood and maximum product of spacings estimation are also available. LMs for right-tail and left-tail censoring by known or unknown threshold and by indicator variable are available. Asymmetric (asy.) trimmed LMs (TL-moments, TLMs) are supported. LMs of residual (resid.) and reversed (rev.) resid. life are implemented along with 13 quantile function operators for reliability and survival analyses. Exact analytical bootstrap estimates of order statistics, LMs, and variances-covariances of LMs are provided. The Harri-Coble Tau34-squared Normality Test is available. Distribution support with "L" (LMs), "TL" (TLMs) and added (+) support for right-tail censoring (RC) encompasses: Asy. Exponential (Exp.) Power [L], Asy. Triangular [L], Cauchy [TL], Eta-Mu [L], Exp. [L], Gamma [L], Generalized (Gen.) Exp. Poisson [L], Gen. Extreme Value [L], Gen. Lambda [L,TL], Gen. Logistic [L), Gen. Normal [L], Gen. Pareto [L+RC, TL], Govindarajulu [L], Gumbel [L], Kappa [L], Kappa-Mu [L], Kumaraswamy [L], Laplace [L], Linear Mean Resid. Quantile Function [L], Normal [L], 3-p log-Normal [L], Pearson Type III [L], Rayleigh [L], Rev.-Gumbel [L+RC], Rice/Rician [L], Slash [TL], 3-p Student t [L], Truncated Exponential [L], Wakeby [L], and Weibull [L]. Multivariate sample L-comoments (LCMs) are implemented to measure asymmetric association.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/527472016-07-08T16:20:45Z2016-07-08T16:20:45Zlmomco was upgraded to version 2.2.4<a href="/packages/lmomco">lmomco</a> was <span class="action">upgraded</span> to version <a href="/packages/lmomco/versions/50907">2.2.4</a><br /><h3>Package description:</h3><p>Extensive functions for the theory of L-moments (LMs) in addition to probability-weighted moments (PWMs), and parameter (p) estimation for numerous familiar and not-so-familiar distributions. Estimation of LMs for the same distributions is provided as are L-moment ratio diagrams. Estimation of LMs for right-tail and left-tail censoring by known or unknown threshold and also by indicator variable is available. Asymmetric trimmed LMs (TL-moments, TLMs) are supported as are numerical integrations to dynamically compute trajectories of select TLM ratios for TL-moment ratio diagram construction. LMs of residual (resid.) and reversed (rev.) resid. life are implemented along with 13 operators on quantile functions that are useful in reliability, lifetime, and survival analysis. Exact analytical bootstrap estimates of order statistics, LMs, and variances-covariances of LMs are provided. The Harri-Coble Tau34-squared Test for Normality is available. Distribution support with "L" (LMs), "TL" (TLMs) and added (+) support for right-tail censoring (RC) encompasses: Asymmetric (Asy.) Exponential (Exp.) Power [L], Asy. Triangular [L], Cauchy [TL], Eta-Mu [L], Exp. [L], Gamma [L], Generalized (Gen.) Exp. Poisson [L], Gen. Extreme Value [L], Gen. Lambda [L,TL], Gen. Logistic [L), Gen. Normal [L], Gen. Pareto [L+RC, TL], Govindarajulu [L], Gumbel [L], Kappa [L], Kappa-Mu [L], Kumaraswamy [L], Laplace [L], Linear Mean Residual Quantile Function [L], Normal [L], 3-p log-Normal [L], Pearson Type III [L], Rayleigh [L], Rev. Gumbel [L+RC], Rice/Rician (L), Slash [TL], 3-p Student t [L], Truncated Exponential [L], Wakeby [L], and Weibull [L]. LMs have multivariate analogs; the sample L-comoments (LCMs) are implemented and might have considerable application with copulas because LCMs measure asymmetric association and higher comoments or comovements of variables.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/517322016-06-03T09:20:46Z2016-06-03T09:20:46Zlmomco was upgraded to version 2.2.3<a href="/packages/lmomco">lmomco</a> was <span class="action">upgraded</span> to version <a href="/packages/lmomco/versions/49963">2.2.3</a><br /><h3>Package description:</h3><p>Extensive functions for the theory of L-moments (LMs) in addition to probability-weighted moments (PWMs), and parameter (p) estimation for numerous familiar and not-so-familiar distributions. Estimation of LMs for the same distributions is provided as are L-moment ratio diagrams. Estimation of LMs for right-tail and left-tail censoring by known or unknown threshold and also by indicator variable is available. Asymmetric trimmed LMs (TL-moments, TLMs) are supported as are numerical integrations to dynamically compute trajectories of select TLM ratios for TL-moment ratio diagram construction. LMs of residual (resid.) and reversed (rev.) resid. life are implemented along with 13 operators on quantile functions that are useful in reliability, lifetime, and survival analysis. Exact analytical bootstrap estimates of order statistics, LMs, and variances-covariances of LMs are provided. The Harri-Coble Tau34-squared Test for Normality is available. Distribution support with "L" (LMs), "TL" (TLMs) and added (+) support for right-tail censoring (RC) encompasses: Asymmetric (Asy.) Exponential (Exp.) Power [L], Asy. Triangular [L], Cauchy [TL], Eta-Mu [L], Exp. [L], Gamma [L], Generalized (Gen.) Exp. Poisson [L], Gen. Extreme Value [L], Gen. Lambda [L,TL], Gen. Logistic [L), Gen. Normal [L], Gen. Pareto [L+RC, TL], Govindarajulu [L], Gumbel [L], Kappa [L], Kappa-Mu [L], Kumaraswamy [L], Laplace [L], Linear Mean Residual Quantile Function [L], Normal [L], 3-p log-Normal [L], Pearson Type III [L], Rayleigh [L], Rev. Gumbel [L+RC], Rice/Rician (L), Slash [TL], 3-p Student t [L], Truncated Exponential [L], Wakeby [L], and Weibull [L]. LMs have multivariate analogs; the sample L-comoments (LCMs) are implemented and might have considerable application with copulas because LCMs measure asymmetric association and higher comoments or comovements of variables.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/497262016-03-22T23:40:52Z2016-03-22T23:40:52Zlmomco was upgraded to version 2.2.2<a href="/packages/lmomco">lmomco</a> was <span class="action">upgraded</span> to version <a href="/packages/lmomco/versions/48085">2.2.2</a><br /><h3>Package description:</h3><p>Extensive functions for the theory of L-moments (LMs) in addition to probability-weighted moments (PWMs), and parameter (p) estimation for numerous familiar and not-so-familiar distributions. Estimation of LMs for the same distributions is provided as are L-moment ratio diagrams. Estimation of LMs for right-tail and left-tail censoring by known or unknown threshold and also by indicator variable is available. Asymmetric trimmed LMs (TL-moments, TLMs) are supported as are numerical integrations to dynamically compute trajectories of select TLM ratios for TL-moment ratio diagram construction. LMs of residual (resid.) and reversed (rev.) resid. life are implemented along with 13 operators on quantile functions that are useful in reliability, lifetime, and survival analysis. Exact analytical bootstrap estimates of order statistics, LMs, and variances-covariances of LMs are provided. The Harri-Coble Tau34-squared Test for Normality is available. Distribution support with "L" (LMs), "TL" (TLMs) and added (+) support for right-tail censoring (RC) encompasses: Asymmetric (Asy.) Exponential (Exp.) Power [L], Asy. Triangular [L], Cauchy [TL], Eta-Mu [L], Exp. [L], Gamma [L], Generalized (Gen.) Exp. Poisson [L], Gen. Extreme Value [L], Gen. Lambda [L,TL], Gen. Logistic [L), Gen. Normal [L], Gen. Pareto [L+RC, TL], Govindarajulu [L], Gumbel [L], Kappa [L], Kappa-Mu [L], Kumaraswamy [L], Laplace [L], Linear Mean Residual Quantile Function [L], Normal [L], 3-p log-Normal [L], Pearson Type III [L], Rayleigh [L], Rev. Gumbel [L+RC], Rice/Rician (L), Slash [TL], 3-p Student t [L], Truncated Exponential [L], Wakeby [L], and Weibull [L]. LMs have multivariate analogs; the sample L-comoments (LCMs) are implemented and might have considerable application with copulas because LCMs measure asymmetric association and higher comoments or comovements of variables.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/402742015-04-21T06:11:21Z2015-04-21T06:11:21Zlmomco was upgraded to version 2.1.4<a href="/packages/lmomco">lmomco</a> was <span class="action">upgraded</span> to version <a href="/packages/lmomco/versions/40075">2.1.4</a><br /><h3>Package description:</h3><p>Extensive functions for the theory of L-moments (LMs) in addition to probability-weighted moments (PWMs), and parameter (p) estimation for numerous familiar and not-so-familiar distributions. Estimation of LMs for the same distributions is provided as are L-moment ratio diagrams. Estimation of LMs for right-tail and left-tail censoring by known or unknown threshold and also by indicator variable is available. Asymmetric trimmed LMs (TL-moments, TLMs) are supported as are numerical integrations to dynamically compute trajectories of select TLM ratios for TL-moment ratio diagram construction. LMs of residual (resid.) and reversed (rev.) resid. life are implemented along with 13 operators on quantile functions that are useful in reliability, lifetime, and survival analysis. Exact analytical bootstrap estimates of order statistics, LMs, and variances-covariances of LMs are provided. The Harri-Coble Tau34-squared Test for Normality is available. Distribution support with "L" (LMs), "TL" (TLMs) and added (+) support for right-tail censoring (RC) encompasses: Asymmetric (Asy.) Exponential (Exp.) Power [L], Asy. Triangular [L], Cauchy [TL], Eta-Mu [L], Exp. [L], Gamma [L], Generalized (Gen.) Exp. Poisson [L], Gen. Extreme Value [L], Gen. Lambda [L,TL], Gen. Logistic [L), Gen. Normal [L], Gen. Pareto [L+RC, TL], Govindarajulu [L], Gumbel [L], Kappa [L], Kappa-Mu [L], Kumaraswamy [L], Laplace [L], Linear Mean Residual Quantile Function [L], Normal [L], 3-p log-Normal [L], Pearson Type III [L], Rayleigh [L], Rev. Gumbel [L+RC], Rice/Rician (L), Slash [TL], 3-p Student t [L], Truncated Exponential [L], Wakeby [L], and Weibull [L]. LMs have multivariate analogs; the sample L-comoments (LCMs) are implemented and might have considerable application with copulas because LCMs measure asymmetric association and higher comoments or comovements of variables.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/386822015-01-31T17:11:02Z2015-01-31T17:11:02Zlmomco was upgraded to version 2.1.3<a href="/packages/lmomco">lmomco</a> was <span class="action">upgraded</span> to version <a href="/packages/lmomco/versions/38503">2.1.3</a><br /><h3>Package description:</h3><p>Extensive functions for the theory of L-moments (LMs) in addition to probability-weighted moments (PWMs), and parameter (p) estimation for numerous familiar and not-so-familiar distributions. Estimation of LMs for the same distributions is provided as are L-moment ratio diagrams. Estimation of LMs for right-tail and left-tail censoring by known or unknown threshold and also by indicator variable is available. Asymmetric trimmed LMs (TL-moments, TLMs) are supported as are numerical integrations to dynamically compute trajectories of select TLM ratios for TL-moment ratio diagram construction. LMs of residual (resid.) and reversed (rev.) resid. life are implemented along with 13 operators on quantile functions that are useful in reliability, lifetime, and survival analysis. Exact analytical bootstrap estimates of order statistics, LMs, and variances-covariances of LMs are provided. The Harri-Coble Tau34-squared Test for Normality is available. Distribution support with "L" (LMs), "TL" (TLMs) and added (+) support for right-tail censoring (RC) encompasses: Asymmetric (Asy.) Exponential (Exp.) Power [L], Asy. Triangular [L], Cauchy [TL], Eta-Mu [L], Exp. [L], Gamma [L], Generalized (Gen.) Exp. Poisson [L], Gen. Extreme Value [L], Gen. Lambda [L,TL], Gen. Logistic [L), Gen. Normal [L], Gen. Pareto [L+RC, TL], Govindarajulu [L], Gumbel [L], Kappa [L], Kappa-Mu [L], Kumaraswamy [L], Laplace [L], Linear Mean Residual Quantile Function [L], Normal [L], 3-p log-Normal [L], Pearson Type III [L], Rayleigh [L], Rev. Gumbel [L+RC], Rice/Rician (L), Slash [TL], 3-p Student t [L], Truncated Exponential [L], Wakeby [L], and Weibull [L]. LMs have multivariate analogs; the sample L-comoments (LCMs) are implemented and might have considerable application with copulas because LCMs measure asymmetric association and higher comoments or comovements of variables.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/340532013-07-05T19:50:39Z2013-07-05T19:50:39Zlmomco was upgraded to version 1.7.8<a href="/packages/lmomco">lmomco</a> was <span class="action">upgraded</span> to version <a href="/packages/lmomco/versions/29105">1.7.8</a><br /><h3>Package description:</h3><p>The package provides a comparatively comprehensive implementation of the theory of L-moments. Implementations for L-moment and probability-weighted moment (PWM) estimation, and parameter estimation for numerous familiar and not-so-familiar distributions are provided. L-moment estimation for the same distributions from parameters. L-moments are linear functions of order statistics and are linearly related to PWMs. L-moments are analogous to product moments; however, L-moments have many advantages including unbiasedness, robustness, and consistency. L-moments can outperform maximum likelihood for small to moderate samples. The lmomco package historically was originally oriented around circa 1996-FORTRAN algorithms by Hosking, and the nomenclature parallels those of the Hosking library. The Hosking algorithms later became available in the lmom package. However, vast extensions, components, concepts, L-moment curiosities, and research topics are added to aid and expand the breadth of L-moment applications. Such extensions the Sen weighted mean, Gini mean difference, plotting positions, and conditional probability adjustments. L-moment ratio diagrams are supported. Computations of L-moments for right-tail and left-tail censoring by known or unknown censoring threshold (via Hosking) and also by indicator variable (via Wang et al.) also are available. Asymmetric trimmed L-moments are supported as are numerical integration dynamically compute trajectories of select TL-moment ratios for the construction of TL-moment ratio diagrams. L-moments have been extended into multivariate space; the sample L-comoments are implemented and might have considerable application in copula theory because L-comoments measure asymmetric association and higher comoments or comovements of variables. The package supports exact analytical boot-strap estimates of order statistics, L-moments, and variances-covariances of L-moments. The package provides the Harri-Coble Tau34-squared Test for Normality using sample L-skew and L-kurtosis. Support for the following distributions, with moment type shown as "L" (L-moments) or "TL" (trimmed L-moments) and additional support for right-tail censoring ([RC]) include, is available: Asymmetric Exponential Power (L), Cauchy (TL), Eta-Mu (L), Exponential (L), Gamma (L), Generalized Extreme Value (L), Generalized Lambda (L & TL), Generalized Logistic (L), Generalized Normal (L), Generalized Pareto (L[RC] & TL), Gumbel (L), Kappa (L), Kappa-Mu (L), Kumaraswamy (L), Laplace (L), Normal (L), 3-parameter log-Normal (L), Pearson Type III (L), Rayleigh (L), Reverse Gumbel (L[RC]), Rice/Rician (L), Truncated Exponential (L), Wakeby (L), and Weibull (L).</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/325892013-05-13T13:30:39Z2013-05-13T13:30:39Zlmomco was upgraded to version 1.7.7<a href="/packages/lmomco">lmomco</a> was <span class="action">upgraded</span> to version <a href="/packages/lmomco/versions/27748">1.7.7</a><br /><h3>Package description:</h3><p>The package provides a comparatively comprehensive implementation of the theory of L-moments. Implementations for L-moment and probability-weighted moment (PWM) estimation, and parameter estimation for numerous familiar and not-so-familiar distributions are provided. L-moment estimation for the same distributions from parameters. L-moments are linear functions of order statistics and are linearly related to PWMs. L-moments are analogous to product moments; however, L-moments have many advantages including unbiasedness, robustness, and consistency. L-moments can outperform maximum likelihood for small to moderate samples. The lmomco package historically was originally oriented around circa 1996-FORTRAN algorithms by Hosking, and the nomenclature parallels those of the Hosking library. The Hosking algorithms later became available in the lmom package. However, vast extensions, components, concepts, L-moment curiosities, and research topics are added to aid and expand the breadth of L-moment applications. Such extensions the Sen weighted mean, Gini mean difference, plotting positions, and conditional probability adjustments. L-moment ratio diagrams are supported. Computations of L-moments for right-tail and left-tail censoring by known or unknown censoring threshold (via Hosking) and also by indicator variable (via Wang et al.) also are available. Asymmetric trimmed L-moments are supported as are numerical integration dynamically compute trajectories of select TL-moment ratios for the construction of TL-moment ratio diagrams. L-moments have been extended into multivariate space; the sample L-comoments are implemented and might have considerable application in copula theory because L-comoments measure asymmetric association and higher comoments or comovements of variables. The package supports exact analytical boot-strap estimates of order statistics, L-moments, and variances-covariances of L-moments. The package provides the Harri-Coble Tau34-squared Test for Normality using sample L-skew and L-kurtosis. Support for the following distributions, with moment type shown as "L" (L-moments) or "TL" (trimmed L-moments) and additional support for right-tail censoring ([RC]) include, is available: Asymmetric Exponential Power (L), Cauchy (TL), Eta-Mu (L), Exponential (L), Gamma (L), Generalized Extreme Value (L), Generalized Lambda (L & TL), Generalized Logistic (L), Generalized Normal (L), Generalized Pareto (L[RC] & TL), Gumbel (L), Kappa (L), Kappa-Mu (L), Kumaraswamy (L), Laplace (L), Normal (L), 3-parameter log-Normal (L), Pearson Type III (L), Rayleigh (L), Reverse Gumbel (L[RC]), Rice/Rician (L), Truncated Exponential (L), Wakeby (L), and Weibull (L).</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/312252013-03-31T06:12:28Z2013-03-31T06:12:28Zlmomco was upgraded to version 1.7.5<a href="/packages/lmomco">lmomco</a> was <span class="action">upgraded</span> to version <a href="/packages/lmomco/versions/26497">1.7.5</a><br /><h3>Package description:</h3><p>The package implements the statistical theory of L-moments in R including L-moment estimation, probability-weighted moment estimation, parameter estimation for numerous familiar and not-so-familiar distributions, and L-moment estimation for the same distributions from the parameters. L-moments are derived from the expectations of order statistics and are linear with respect to the probability-weighted moments; choice of either can be made by mathematical convenience. L-moments are directly analogous to the well-known product moments; however, L-moments have many advantages including unbiasedness, robustness, and consistency with respect to the product moments, and the method of L-moments can out perform the method of maximum likelihood. The lmomco package historically was originally oriented around canonical FORTRAN algorithms of Hosking's library, and the nomenclature for many of the functions parallels those of the Hosking library. Hosking's algorithms later became available in the lmom package. However, vast extensions, components, concepts, and other L-moment curiosities are added to lmomco to aid and expand the breadth of L-moment applications. Such extensions include venerable statistics as Sen weighted mean, Gini mean difference, plotting positions, and conditional probability adjustment. The plotting of L-moment ratio diagrams is directly supported in this package. Computations of L-moments for right-tail and left-tail censoring by known or unknown censoring threshold (Hosking) and also by indicator variable also are available. Trimmed L-moments are supported as is numerical integration of quantile functions to dynamically compute trajectories of select TL-moment ratios for the construction of TL-moment ratio diagrams. L-moments have been extended into multivariate space; the so-called sample L-comoments are implemented and might have considerable application in copula theory because they measure asymmetric correlation and higher comoments or comovements of variables. The package supports exact analytical boot strap estimates of order statistics, L-moments, and variances-covariances of L-moments. The package provides the Harri-Coble Tau34-squared Test for Normality that uses only the sample L-skew and L-kurtosis. The package supports the following distributions with moment type shown as "L" (L-moments) or "TL" (trimmed L-moments) and additional support for right-tail censoring ([RC]) include: Asymmetric Exponential Power (L), Cauchy (TL), Eta-Mu (L), Exponential (L), Gamma (L), Generalized Extreme Value (L), Generalized Lambda (L & TL), Generalized Logistic (L), Generalized Normal (L), Generalized Pareto (L[RC] & TL), Gumbel (L), Kappa (L), Kappa-Mu (L), Kumaraswamy (L), Laplace (L), Normal (L), 3-parameter log-Normal (L), Pearson Type III (L), Rayleigh (L), Reverse Gumbel (L[RC]), Rice/Rician (L), Truncated Exponential (L), Wakeby (L), and Weibull (L).</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/294772013-02-16T08:50:45Z2013-02-16T08:50:45Zlmomco was upgraded to version 1.7.4<a href="/packages/lmomco">lmomco</a> was <span class="action">upgraded</span> to version <a href="/packages/lmomco/versions/25251">1.7.4</a><br /><h3>Package description:</h3><p>The package implements the statistical theory of L-moments in R including L-moment estimation, probability-weighted moment estimation, parameter estimation for numerous familiar and not-so-familiar distributions, and L-moment estimation for the same distributions from the parameters. L-moments are derived from the expectations of order statistics and are linear with respect to the probability-weighted moments; choice of either can be made by mathematical convenience. L-moments are directly analogous to the well-known product moments; however, L-moments have many advantages including unbiasedness, robustness, and consistency with respect to the product moments, and the method of L-moments can out perform the method of maximum likelihood. The lmomco package historically was originally oriented around canonical FORTRAN algorithms of Hosking's library, and the nomenclature for many of the functions parallels those of the Hosking library. Hosking's algorithms later became available in the lmom package. However, vast extensions, components, concepts, and other L-moment curiosities are added to lmomco to aid and expand the breadth of L-moment applications. Such extensions include venerable statistics as Sen weighted mean, Gini mean difference, plotting positions, and conditional probability adjustment. The plotting of L-moment ratio diagrams is directly supported in this package. Computations of L-moments for right-tail and left-tail censoring by known or unknown censoring threshold (Hosking) and also by indicator variable also are available. Trimmed L-moments are supported as is numerical integration of quantile functions to dynamically compute trajectories of select TL-moment ratios for the construction of TL-moment ratio diagrams. L-moments have been extended into multivariate space; the so-called sample L-comoments are implemented and might have considerable application in copula theory because they measure asymmetric correlation and higher comoments or comovements of variables. The package supports exact analytical boot strap estimates of order statistics, L-moments, and variances-covariances of L-moments. The package provides the Harri-Coble Tau34-squared Test for Normality that uses only the sample L-skew and L-kurtosis. The package supports the following distributions with moment type shown as "L" (L-moments) or "TL" (trimmed L-moments) and additional support for right-tail censoring ([RC]) include: Asymmetric Exponential Power (L), Cauchy (TL), Eta-Mu (L), Exponential (L), Gamma (L), Generalized Extreme Value (L), Generalized Lambda (L & TL), Generalized Logistic (L), Generalized Normal (L), Generalized Pareto (L[RC] & TL), Gumbel (L), Kappa (L), Kappa-Mu (L), Kumaraswamy (L), Laplace (L), Normal (L), 3-parameter log-Normal (L), Pearson Type III (L), Rayleigh (L), Reverse Gumbel (L[RC]), Rice/Rician (L), Truncated Exponential (L), Wakeby (L), and Weibull (L).</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/289092013-01-29T07:10:46Z2013-01-29T07:10:46Zlmomco was upgraded to version 1.7.3<a href="/packages/lmomco">lmomco</a> was <span class="action">upgraded</span> to version <a href="/packages/lmomco/versions/24692">1.7.3</a><br /><h3>Package description:</h3><p>The package implements the statistical theory of L-moments in R including L-moment estimation, probability-weighted moment estimation, parameter estimation for numerous familiar and not-so-familiar distributions, and L-moment estimation for the same distributions from the parameters. L-moments are derived from the expectations of order statistics and are linear with respect to the probability-weighted moments; choice of either can be made by mathematical convenience. L-moments are directly analogous to the well-known product moments; however, L-moments have many advantages including unbiasedness, robustness, and consistency with respect to the product moments, and the method of L-moments can out perform the method of maximum likelihood. The lmomco package historically was originally oriented around canonical FORTRAN algorithms of Hosking's library, and the nomenclature for many of the functions parallels those of the Hosking library. Hosking's algorithms later became available in the lmom package. However, vast extensions, components, concepts, and other L-moment curiosities are added to lmomco to aid and expand the breadth of L-moment applications. Such extensions include venerable statistics as Sen weighted mean, Gini mean difference, plotting positions, and conditional probability adjustment. The plotting of L-moment ratio diagrams is directly supported in this package. Computations of L-moments for right-tail and left-tail censoring by known or unknown censoring threshold (Hosking) and also by indicator variable also are available. Trimmed L-moments are supported as is numerical integration of quantile functions to dynamically compute trajectories of select TL-moment ratios for the construction of TL-moment ratio diagrams. L-moments have been extended into multivariate space; the so-called sample L-comoments are implemented and might have considerable application in copula theory because they measure asymmetric correlation and higher comoments or comovements of variables. The package supports exact analytical boot strap estimates of order statistics, L-moments, and variances-covariances of L-moments. The package provides the Harri-Coble Tau34-squared Test for Normality that uses only the sample L-skew and L-kurtosis. The package supports the following distributions with moment type shown as "L" (L-moments) or "TL" (trimmed L-moments) and additional support for right-tail censoring ([RC]) include: Asymmetric Exponential Power (L), Cauchy (TL), Eta-Mu (L), Exponential (L), Gamma (L), Generalized Extreme Value (L), Generalized Lambda (L & TL), Generalized Logistic (L), Generalized Normal (L), Generalized Pareto (L[RC] & TL), Gumbel (L), Kappa (L), Kappa-Mu (L), Kumaraswamy (L), Laplace (L), Normal (L), 3-parameter log-Normal (L), Pearson Type III (L), Rayleigh (L), Reverse Gumbel (L[RC]), Rice/Rician (L), Truncated Exponential (L), Wakeby (L), and Weibull (L).</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/270922012-11-20T14:51:11Z2012-11-20T14:51:11Zlmomco was upgraded to version 1.7.2<a href="/packages/lmomco">lmomco</a> was <span class="action">upgraded</span> to version <a href="/packages/lmomco/versions/22977">1.7.2</a><br /><h3>Package description:</h3><p>The package implements the statistical theory of L-moments in R including L-moment estimation, probability-weighted moment estimation, parameter estimation for numerous familiar and not-so-familiar distributions, and L-moment estimation for the same distributions from the parameters. L-moments are derived from the expectations of order statistics and are linear with respect to the probability-weighted moments; choice of either can be made by mathematical convenience. L-moments are directly analogous to the well-known product moments; however, L-moments have many advantages including unbiasedness, robustness, and consistency with respect to the product moments, and the method of L-moments can out perform the method of maximum likelihood. The lmomco package historically was originally oriented around canonical FORTRAN algorithms of Hosking's library, and the nomenclature for many of the functions parallels those of the Hosking library. Hosking's algorithms later became available in the lmom package. However, vast extensions, components, concepts, and other L-moment curiosities are added to lmomco to aid and expand the breadth of L-moment applications. Such extensions include venerable statistics as Sen weighted mean, Gini mean difference, plotting positions, and conditional probability adjustment. The plotting of L-moment ratio diagrams is directly supported in this package. Computations of L-moments for right-tail and left-tail censoring by known or unknown censoring threshold (Hosking) and also by indicator variable also are available. Trimmed L-moments are supported as is numerical integration of quantile functions to dynamically compute trajectories of select TL-moment ratios for the construction of TL-moment ratio diagrams. L-moments have been extended into multivariate space; the so-called sample L-comoments are implemented and might have considerable application in copula theory because they measure asymmetric correlation and higher comoments or comovements of variables. The package supports exact analytical boot strap estimates of order statistics, L-moments, and variances-covariances of L-moments. The package supports the following distributions with moment type shown as "L" (L-moments) or "TL" (trimmed L-moments) and additional support for right-tail censoring ([RC]) include: Asymmetric Exponential Power (L), Cauchy (TL), Eta-Mu (L), Exponential (L), Gamma (L), Generalized Extreme Value (L), Generalized Lambda (L & TL), Generalized Logistic (L), Generalized Normal (L), Generalized Pareto (L[RC] & TL), Gumbel (L), Kappa (L), Kappa-Mu (L), Kumaraswamy (L), Laplace (L), Normal (L), 3-parameter log-Normal (L), Pearson Type III (L), Rayleigh (L), Reverse Gumbel (L[RC]), Rice/Rician (L), Truncated Exponential (L), Wakeby (L), and Weibull (L).</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/237452012-07-16T14:10:51Z2012-07-16T14:10:51Zlmomco was upgraded to version 1.6.2<a href="/packages/lmomco">lmomco</a> was <span class="action">upgraded</span> to version <a href="/packages/lmomco/versions/19858">1.6.2</a><br /><h3>Package description:</h3><p>The package implements the statistical theory of L-moments in R including L-moment estimation, probability-weighted moment estimation, parameter estimation for numerous familiar and not-so-familiar distributions, and L-moment estimation for the same distributions from the parameters. L-moments are derived from the expectations of order statistics and are linear with respect to the probability-weighted moments; choice of either can be made by mathematical convenience. L-moments are directly analogous to the well-known product moments; however, L-moments have many advantages including unbiasedness, robustness, and consistency with respect to the product moments. The method of L-moments can out perform the method of maximum likelihood. The lmomco package historically is oriented around canonical FORTRAN algorithms of J.R.M. Hosking, and the nomenclature for many of the functions parallels that of the Hosking library, which later became available in the lmom package. However, vast arrays of various extensions and curiosities are added by the author to aid and expand the breadth of L-moment application. Such extensions include venerable statistics as Sen weighted mean, Gini mean difference, plotting positions, and conditional probability adjustment. The plotting of L-moment ratio diagrams is directly supported in this package. Computations of L-moments for right-tail and left-tail censoring by known or unknown censoring threshold and also by indicator variable also are available. E.A.H. Elamir and A.H. Seheult have developed the trimmed L-moments, which are implemented in this package, and numerical integration of quantile functions is used to dynamically compute trajectories of select TL-moment ratios for the construction of TL-moment ratio diagrams. Robert Serfling and Peng Xiao have extended L-moments into multivariate space; the so-called sample L-comoments are implemented here and might have considerable application in copula theory because they measure asymmetric correlation and higher co-moments or co-movements of variables. The package supports the following distributions with moment type shown as "L" (L-moments) or "TL" (trimmed L-moments) and additional support for right-tail censoring ([RC]) include: Asymmetric Exponential Power (L), Cauchy (TL), Exponential (L), Gamma (L), Generalized Extreme Value (L), Generalized Lambda (L & TL), Generalized Logistic (L), Generalized Normal (L), Generalized Pareto (L[RC] & TL), Gumbel (L), Kappa (L), Kumaraswamy (L), Laplace (L), Normal (L), 3-parameter log-Normal (L), Pearson Type III (L), Rayleigh (L), Reverse Gumbel (L[RC]), Rice/Rician (L), Truncated Exponential (L), Wakeby (L), and Weibull (L).</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/223042012-05-11T15:30:47Z2012-05-11T15:30:47Zlmomco was upgraded to version 1.6.1<a href="/packages/lmomco">lmomco</a> was <span class="action">upgraded</span> to version <a href="/packages/lmomco/versions/18622">1.6.1</a><br /><h3>Package description:</h3><p>The package implements the statistical theory of L-moments in R including L-moment estimation, probability-weighted moment estimation, parameter estimation for numerous familiar and not-so-familiar distributions, and L-moment estimation for the same distributions from the parameters. L-moments are derived from the expectations of order statistics and are linear with respect to the probability-weighted moments; choice of either can be made by mathematical convenience. L-moments are directly analogous to the well-known product moments; however, L-moments have many advantages including unbiasedness, robustness, and consistency with respect to the product moments. The method of L-moments can out perform the method of maximum likelihood. The lmomco package historically is oriented around canonical FORTRAN algorithms of J.R.M. Hosking, and the nomenclature for many of the functions parallels that of the Hosking library, which later became available in the lmom package. However, vast arrays of various extensions and curiosities are added by the author to aid and expand the breadth of L-moment application. Such extensions include venerable statistics as Sen weighted mean, Gini mean difference, plotting positions, and conditional probability adjustment. The plotting of L-moment ratio diagrams is directly supported in this package. Computations of L-moments for right-tail and left-tail censoring by known or unknown censoring threshold and also by indicator variable also are available. E.A.H. Elamir and A.H. Seheult have developed the trimmed L-moments, which are implemented in this package, and numerical integration of quantile functions is used to dynamically compute trajectories of select TL-moment ratios for the construction of TL-moment ratio diagrams. Robert Serfling and Peng Xiao have extended L-moments into multivariate space; the so-called sample L-comoments are implemented here and might have considerable application in copula theory because they measure asymmetric correlation and higher co-moments or co-movements of variables. The package supports the following distributions with moment type shown as "L" (L-moments) or "TL" (trimmed L-moments) and additional support for right-tail censoring ([RC]) include: Asymmetric Exponential Power (L), Cauchy (TL), Exponential (L), Gamma (L), Generalized Extreme Value (L), Generalized Lambda (L & TL), Generalized Logistic (L), Generalized Normal (L), Generalized Pareto (L[RC] & TL), Gumbel (L), Kappa (L), Kumaraswamy (L), Laplace (L), Normal (L), 3-parameter log-Normal (L), Pearson Type III (L), Rayleigh (L), Reverse Gumbel (L[RC]), Rice/Rician (L), Truncated Exponential (L), Wakeby (L), and Weibull (L).</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/218392012-04-16T20:10:50Z2012-04-16T20:10:50Zlmomco was upgraded to version 1.5.1<a href="/packages/lmomco">lmomco</a> was <span class="action">upgraded</span> to version <a href="/packages/lmomco/versions/18222">1.5.1</a><br /><h3>Package description:</h3><p>The package implements the statistical theory of L-moments in R including L-moment estimation, probability-weighted moment estimation, parameter estimation for numerous familiar and not-so-familiar distributions, and L-moment estimation for the same distributions from the parameters. L-moments are derived from the expectations of order statistics and are linear with respect to the probability-weighted moments; choice of either can be made by mathematical convenience. L-moments are directly analogous to the well-known product moments; however, L-moments have many advantages including unbiasedness, robustness, and consistency with respect to the product moments. The method of L-moments can out perform the method of maximum likelihood. The lmomco package historically is oriented around canonical FORTRAN algorithms of J.R.M. Hosking, and the nomenclature for many of the functions parallels that of the Hosking library, which later became available in the lmom package. However, vast arrays of various extensions and curiosities are added by the author to aid and expand the breadth of L-moment application. Such extensions include venerable statistics as Sen weighted mean, Gini mean difference, plotting positions, and conditional probability adjustment. The plotting of L-moment ratio diagrams is directly supported in this package. Computations of L-moments for right-tail and left-tail censoring by known or unknown censoring threshold and also by indicator variable also are available. E.A.H. Elamir and A.H. Seheult have developed the trimmed L-moments, which are implemented in this package, and numerical integration of quantile functions is used to dynamically compute trajectories of select TL-moment ratios for the construction of TL-moment ratio diagrams. Robert Serfling and Peng Xiao have extended L-moments into multivariate space; the so-called sample L-comoments are implemented here and might have considerable application in copula theory because they measure asymmetric correlation and higher co-moments or co-movements of variables. The package supports the following distributions with moment type shown as "L" (L-moments) or "TL" (trimmed L-moments) and additional support for right-tail censoring ([RC]) include: Asymmetric Exponential Power (L), Cauchy (TL), Exponential (L), Gamma (L), Generalized Extreme Value (L), Generalized Lambda (L & TL), Generalized Logistic (L), Generalized Normal (L), Generalized Pareto (L[RC] & TL), Gumbel (L), Kappa (L), Kumaraswamy (L), Laplace (L), Normal (L), 3-parameter log-Normal (L), Pearson Type III (L), Rayleigh (L), Reverse Gumbel (L[RC]), Rice/Rician (L), Truncated Exponential (L), Wakeby (L), and Weibull (L).</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/213382012-03-30T17:50:57Z2012-03-30T17:50:57Zlmomco was upgraded to version 1.4.5<a href="/packages/lmomco">lmomco</a> was <span class="action">upgraded</span> to version <a href="/packages/lmomco/versions/17912">1.4.5</a><br /><h3>Package description:</h3><p>The package implements the statistical theory of L-moments in R including L-moment estimation, probability-weighted moment estimation, parameter estimation for numerous familiar and not-so-familiar distributions, and L-moment estimation for the same distributions from the parameters. L-moments are derived from the expectations of order statistics and are linear with respect to the probability-weighted moments; choice of either can be made by mathematical convenience. L-moments are directly analogous to the well-known product moments; however, L-moments have many advantages including unbiasedness, robustness, and consistency with respect to the product moments. The method of L-moments can out perform the method of maximum likelihood. The lmomco package historically is oriented around canonical FORTRAN algorithms of J.R.M. Hosking, and the nomenclature for many of the functions parallels that of the Hosking library, which later became available in the lmom package. However, vast arrays of various extensions and curiosities are added by the author to aid and expand the breadth of L-moment application. Such extensions include venerable statistics as Sen weighted mean, Gini mean difference, plotting positions, and conditional probability adjustment. The plotting of L-moment ratio diagrams is directly supported in this package. Computations of L-moments for right-tail and left-tail censoring by known or unknown censoring threshold and also by indicator variable also are available. E.A.H. Elamir and A.H. Seheult have developed the trimmed L-moments, which are implemented in this package, and numerical integration of quantile functions is used to dynamically compute trajectories of select TL-moment ratios for the construction of TL-moment ratio diagrams. Robert Serfling and Peng Xiao have extended L-moments into multivariate space; the so-called sample L-comoments are implemented here and might have considerable application in copula theory because they measure asymmetric correlation and higher co-moments. The supported distributions with moment type shown as "L" (L-moments) or "TL" (trimmed L-moments) and additional support for right-tail censoring ([RC]) include: Cauchy (TL), Exponential (L), Gamma (L), Generalized Extreme Value (L), Generalized Lambda (L & TL), Generalized Logistic (L), Generalized Normal (L), Generalized Pareto (L[RC] & TL), Gumbel (L), Kappa (L), Kumaraswamy (L), Laplace (L), Normal (L), 3-parameter log-Normal (L), Pearson Type III (L), Rayleigh (L), Reverse Gumbel (L[RC]), Rice/Rician (L), Truncated Exponential (L), Wakeby (L), and Weibull (L).</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/157572011-09-01T06:30:38Z2011-09-01T06:30:38Zlmomco was upgraded to version 1.4.3<a href="/packages/lmomco">lmomco</a> was <span class="action">upgraded</span> to version <a href="/packages/lmomco/versions/14041">1.4.3</a><br /><h3>Package description:</h3><p>The package implements the statistical theory of L-moments in R including L-moment estimation, probability-weighted moment estimation, parameter estimation for numerous familiar and not-so-familiar distributions, and L-moment estimation for the same distributions from the parameters. L-moments are derived from the expectations of order statistics and are linear with respect to the probability-weighted moments; choice of either can be made by mathematical convenience. L-moments are directly analogous to the well-known product moments; however, L-moments have many advantages including unbiasedness, robustness, and consistency with respect to the product moments. The method of L-moments can out perform the method of maximum likelihood. The lmomco package historically is oriented around canonical FORTRAN algorithms of J.R.M. Hosking, and the nomenclature for many of the functions parallels that of the Hosking library, which later became available in the lmom package. However, vast arrays of various extensions and curiosities are added by the author to aid and expand the breadth of L-moment application. Such extensions include venerable statistics as Sen weighted mean, Gini mean difference, plotting positions, and conditional probability adjustment. The plotting of L-moment ratio diagrams is directly supported in this package. Computations of L-moments for right-tail and left-tail censoring by known or unknown censoring threshold and also by indicator variable also are available. E.A.H. Elamir and A.H. Seheult have developed the trimmed L-moments, which are implemented in this package, and numerical integration of quantile functions is used to dynamically compute trajectories of select TL-moment ratios for the construction of TL-moment ratio diagrams. Robert Serfling and Peng Xiao have extended L-moments into multivariate space; the so-called sample L-comoments are implemented here and might have considerable application in copula theory because they measure asymmetric correlation and higher co-moments. The supported distributions with moment type shown as "L" (L-moments) or "TL" (trimmed L-moments) and additional support for right-tail censoring ([RC]) include: Cauchy (TL), Exponential (L), Gamma (L), Generalized Extreme Value (L), Generalized Lambda (L & TL), Generalized Logistic (L), Generalized Normal (L), Generalized Pareto (L[RC] & TL), Gumbel (L), Kappa (L), Kumaraswamy (L), Normal (L), 3-parameter log-Normal (L), Pearson Type III (L), Rayleigh (L), Reverse Gumbel (L[RC]), Rice/Rician (L), Truncated Exponential (L), Wakeby (L), and Weibull (L).</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/145992011-07-23T14:11:29Z2011-07-23T14:11:29Zlmomco was upgraded to version 1.4.2<a href="/packages/lmomco">lmomco</a> was <span class="action">upgraded</span> to version <a href="/packages/lmomco/versions/13161">1.4.2</a><br /><h3>Package description:</h3><p>The package implements the statistical theory of L-moments in R including L-moment estimation, probability-weighted moment estimation, parameter estimation for numerous familiar and not-so-familiar distributions, and L-moment estimation for the same distributions from the parameters. L-moments are derived from the expectations of order statistics and are linear with respect to the probability-weighted moments; choice of either can be made by mathematical convenience. L-moments are directly analogous to the well-known product moments; however, L-moments have many advantages including unbiasedness, robustness, and consistency with respect to the product moments. The method of L-moments can out perform the method of maximum likelihood. The lmomco package historically is oriented around canonical FORTRAN algorithms of J.R.M. Hosking, and the nomenclature for many of the functions parallels that of the Hosking library, which later became available in the lmom package. However, vast arrays of various extensions and curiosities are added by the author to aid and expand the breadth of L-moment application. Such extensions include venerable statistics as Sen weighted mean, Gini mean difference, plotting positions, and conditional probability adjustment. The plotting of L-moment ratio diagrams is directly supported in this package. Computations of L-moments for right-tail and left-tail censoring by known or unknown censoring threshold and also by indicator variable also are available. E.A.H. Elamir and A.H. Seheult have developed the trimmed L-moments, which are implemented in this package, and numerical integration of quantile functions is used to dynamically compute trajectories of select TL-moment ratios for the construction of TL-moment ratio diagrams. Robert Serfling and Peng Xiao have extended L-moments into multivariate space; the so-called sample L-comoments are implemented here and might have considerable application in copula theory because they measure asymmetric correlation and higher co-moments. The supported distributions with moment type shown as "L" (L-moments) or "TL" (trimmed L-moments) and additional support for right-tail censoring ([RC]) include: Cauchy (TL), Exponential (L), Gamma (L), Generalized Extreme Value (L), Generalized Lambda (L & TL), Generalized Logistic (L), Generalized Normal (L), Generalized Pareto (L[RC] & TL), Gumbel (L), Kappa (L), Kumaraswamy (L), Normal (L), 3-parameter log-Normal (L), Pearson Type III (L), Rayleigh (L), Reverse Gumbel (L[RC]), Rice/Rician (L), Truncated Exponential (L), Wakeby (L), and Weibull (L).</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/142232011-06-25T06:10:29Z2011-06-25T06:10:29Zlmomco was upgraded to version 1.3.6<a href="/packages/lmomco">lmomco</a> was <span class="action">upgraded</span> to version <a href="/packages/lmomco/versions/12901">1.3.6</a><br /><h3>Package description:</h3><p>The package implements the statistical theory of L-moments in R including L-moment estimation, probability-weighted moment estimation, parameter estimation for numerous familiar and not-so-familiar distributions, and L-moment estimation for the same distributions from the parameters. L-moments are derived from the expectations of order statistics and are linear with respect to the probability-weighted moments; choice of either can be made by mathematical convenience. L-moments are directly analogous to the well-known product moments; however, L-moments have many advantages including unbiasedness, robustness, and consistency with respect to the product moments. The method of L-moments can out perform the method of maximum likelihood. The lmomco package historically is oriented around canonical FORTRAN algorithms of J.R.M. Hosking, and the nomenclature for many of the functions parallels that of the Hosking library, which later became available in the lmom package. However, vast arrays of various extensions and curiosities are added by the author to aid and expand of the breadth of L-moment application. Such extensions include venerable statistics as Sen weighted mean, Gini mean difference, plotting positions, and conditional probability adjustment. Much extension of L-moment theory has occurred in recent years, including extension of L-moments into right-tail and left-tail censoring by known or unknown censoring threshold and also by indicator variable. E.A.H. Elamir and A.H. Seheult have developed the trimmed L-moments, which are implemented in this package. Further, Robert Serfling and Peng Xiao have extended L-moments into multivariate space; the so-called sample L-comoments are implemented here and might have considerable application in copula theory because they measure asymmetric correlation and higher co-moments. The supported distributions with moment type shown as L (L-moments) or TL (trimmed L-moments) and additional support for right-tail censoring ([RC]) include: Cauchy (TL), Exponential (L), Gamma (L), Generalized Extreme Value (L), Generalized Lambda (L & TL), Generalized Logistic (L), Generalized Normal (L), Generalized Pareto (L[RC] & TL), Gumbel (L), Kappa (L), Kumaraswamy (L), Normal (L), 3-parameter log-Normal (L), Pearson Type III (L), Rayleigh (L), Reverse Gumbel (L[RC]), Rice/Rician (L), Truncated Exponential (L), Wakeby (L), and Weibull (L).</p>crantastic.org