tag:crantastic.org,2005:/authors/207Latest activity for Thomas Yee2019-11-21T12:04:58Zcrantastic.orgtag:crantastic.org,2005:TimelineEvent/950192019-11-21T12:04:58Z2019-11-21T12:04:58ZVGAM was upgraded to version 1.1-2<a href="/packages/VGAM">VGAM</a> was <span class="action">upgraded</span> to version <a href="/packages/VGAM/versions/90324">1.1-2</a><br /><h3>Package description:</h3><p>An implementation of about 6 major classes of statistical regression models. The central algorithm is Fisher scoring and iterative reweighted least squares. At the heart of this package are the vector generalized linear and additive model (VGLM/VGAM) classes. VGLMs can be loosely thought of as multivariate GLMs. VGAMs are data-driven VGLMs that use smoothing. The book "Vector Generalized Linear and Additive Models: With an Implementation in R" (Yee, 2015) <DOI:10.1007/978-1-4939-2818-7> gives details of the statistical framework and the package. Currently only fixed-effects models are implemented. Many (150+) models and distributions are estimated by maximum likelihood estimation (MLE) or penalized MLE. The other classes are RR-VGLMs (reduced-rank VGLMs), quadratic RR-VGLMs, reduced-rank VGAMs, RCIMs (row-column interaction models)---these classes perform constrained and unconstrained quadratic ordination (CQO/UQO) models in ecology, as well as constrained additive ordination (CAO). Note that these functions are subject to change; see the NEWS and ChangeLog files for latest changes.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/848992019-02-18T11:03:46Z2019-02-18T11:03:46ZVGAM was upgraded to version 1.1-1<a href="/packages/VGAM">VGAM</a> was <span class="action">upgraded</span> to version <a href="/packages/VGAM/versions/80710">1.1-1</a><br /><h3>Package description:</h3><p>An implementation of about 6 major classes of statistical regression models. The central algorithm is Fisher scoring and iterative reweighted least squares. At the heart of this package are the vector generalized linear and additive model (VGLM/VGAM) classes. VGLMs can be loosely thought of as multivariate GLMs. VGAMs are data-driven VGLMs that use smoothing. The book "Vector Generalized Linear and Additive Models: With an Implementation in R" (Yee, 2015) <DOI:10.1007/978-1-4939-2818-7> gives details of the statistical framework and the package. Currently only fixed-effects models are implemented. Many (150+) models and distributions are estimated by maximum likelihood estimation (MLE) or penalized MLE. The other classes are RR-VGLMs (reduced-rank VGLMs), quadratic RR-VGLMs, reduced-rank VGAMs, RCIMs (row-column interaction models)---these classes perform constrained and unconstrained quadratic ordination (CQO/UQO) models in ecology, as well as constrained additive ordination (CAO). Note that these functions are subject to change; see the NEWS and ChangeLog files for latest changes.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/787422018-08-19T00:03:20Z2018-08-19T00:03:20ZVGAM was upgraded to version 1.0-6<a href="/packages/VGAM">VGAM</a> was <span class="action">upgraded</span> to version <a href="/packages/VGAM/versions/75088">1.0-6</a><br /><h3>Package description:</h3><p>An implementation of about 6 major classes of statistical regression models. The central algorithm is Fisher scoring and iterative reweighted least squares. At the heart of this package are the vector generalized linear and additive model (VGLM/VGAM) classes. VGLMs can be loosely thought of as multivariate GLMs. VGAMs are data-driven VGLMs that use smoothing. The book "Vector Generalized Linear and Additive Models: With an Implementation in R" (Yee, 2015) <DOI:10.1007/978-1-4939-2818-7> gives details of the statistical framework and the package. Currently only fixed-effects models are implemented. Many (150+) models and distributions are estimated by maximum likelihood estimation (MLE) or penalized MLE. The other classes are RR-VGLMs (reduced-rank VGLMs), quadratic RR-VGLMs, reduced-rank VGAMs, RCIMs (row-column interaction models)---these classes perform constrained and unconstrained quadratic ordination (CQO/UQO) models in ecology, as well as constrained additive ordination (CAO). Note that these functions are subject to change; see the NEWS and ChangeLog files for latest changes.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/713442018-02-07T16:23:12Z2018-02-07T16:23:12ZVGAM was upgraded to version 1.0-5<a href="/packages/VGAM">VGAM</a> was <span class="action">upgraded</span> to version <a href="/packages/VGAM/versions/68137">1.0-5</a><br /><h3>Package description:</h3><p>An implementation of about 6 major classes of statistical regression models. At the heart of it are the vector generalized linear and additive model (VGLM/VGAM) classes, and the book "Vector Generalized Linear and Additive Models: With an Implementation in R" (Yee, 2015) <DOI:10.1007/978-1-4939-2818-7> gives details of the statistical framework and VGAM package. Currently only fixed-effects models are implemented, i.e., no random-effects models. Many (150+) models and distributions are estimated by maximum likelihood estimation (MLE) or penalized MLE, using Fisher scoring. VGLMs can be loosely thought of as multivariate GLMs. VGAMs are data-driven VGLMs (i.e., with smoothing). The other classes are RR-VGLMs (reduced-rank VGLMs), quadratic RR-VGLMs, reduced-rank VGAMs, RCIMs (row-column interaction models)---these classes perform constrained and unconstrained quadratic ordination (CQO/UQO) models in ecology, as well as constrained additive ordination (CAO). Note that these functions are subject to change; see the NEWS and ChangeLog files for latest changes.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/648912017-07-25T22:02:55Z2017-07-25T22:02:55ZVGAM was upgraded to version 1.0-4<a href="/packages/VGAM">VGAM</a> was <span class="action">upgraded</span> to version <a href="/packages/VGAM/versions/62068">1.0-4</a><br /><h3>Package description:</h3><p>An implementation of about 6 major classes of statistical regression models. At the heart of it are the vector generalized linear and additive model (VGLM/VGAM) classes, and the book "Vector Generalized Linear and Additive Models: With an Implementation in R" (Yee, 2015) <DOI:10.1007/978-1-4939-2818-7> gives details of the statistical framework and VGAM package. Currently only fixed-effects models are implemented, i.e., no random-effects models. Many (150+) models and distributions are estimated by maximum likelihood estimation (MLE) or penalized MLE, using Fisher scoring. VGLMs can be loosely thought of as multivariate GLMs. VGAMs are data-driven VGLMs (i.e., with smoothing). The other classes are RR-VGLMs (reduced-rank VGLMs), quadratic RR-VGLMs, reduced-rank VGAMs, RCIMs (row-column interaction models)---these classes perform constrained and unconstrained quadratic ordination (CQO/UQO) models in ecology, as well as constrained additive ordination (CAO). Note that these functions are subject to change; see the NEWS and ChangeLog files for latest changes.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/584662017-01-11T08:21:54Z2017-01-11T08:21:54ZVGAM was upgraded to version 1.0-3<a href="/packages/VGAM">VGAM</a> was <span class="action">upgraded</span> to version <a href="/packages/VGAM/versions/55988">1.0-3</a><br /><h3>Package description:</h3><p>An implementation of about 6 major classes of statistical regression models. At the heart of it are the vector generalized linear and additive model (VGLM/VGAM) classes, and the book "Vector Generalized Linear and Additive Models: With an Implementation in R" (Yee, 2015) <DOI:10.1007/978-1-4939-2818-7> gives details of the statistical framework and VGAM package. Currently only fixed-effects models are implemented, i.e., no random-effects models. Many (150+) models and distributions are estimated by maximum likelihood estimation (MLE) or penalized MLE, using Fisher scoring. VGLMs can be loosely thought of as multivariate GLMs. VGAMs are data-driven VGLMs (i.e., with smoothing). The other classes are RR-VGLMs (reduced-rank VGLMs), quadratic RR-VGLMs, reduced-rank VGAMs, RCIMs (row-column interaction models)---these classes perform constrained and unconstrained quadratic ordination (CQO/UQO) models in ecology, as well as constrained additive ordination (CAO). Note that these functions are subject to change; see the NEWS and ChangeLog files for latest changes.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/584342017-01-10T14:41:54Z2017-01-10T14:41:54ZVGAMdata was upgraded to version 1.0-3<a href="/packages/VGAMdata">VGAMdata</a> was <span class="action">upgraded</span> to version <a href="/packages/VGAMdata/versions/55956">1.0-3</a><br /><h3>Package description:</h3><p>Data sets to accompany the VGAM package and the book "Vector Generalized Linear and Additive Models: With an Implementation in R" (Yee, 2015) <DOI:10.1007/978-1-4939-2818-7>. These are used to illustrate vector generalized linear and additive models (VGLMs/VGAMs), and associated models (Reduced-Rank VGLMs, Quadratic RR-VGLMs, Row-Column Interaction Models, and constrained and unconstrained ordination models in ecology).</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/562272016-10-26T15:15:13Z2016-10-26T15:15:13Zcrantastic_production tagged VGAM with ExtremeValue<a href="/users/146">crantastic_production</a> <span class="action">tagged</span> <a href="/packages/VGAM">VGAM</a> with <a href="/task_views/ExtremeValue">ExtremeValue</a>crantastic_productiontag:crantastic.org,2005:TimelineEvent/559522016-10-17T11:15:14Z2016-10-17T11:15:14Zcrantastic_production tagged VGAM with ExtremeValueTheory<a href="/users/146">crantastic_production</a> <span class="action">tagged</span> <a href="/packages/VGAM">VGAM</a> with <a href="/task_views/ExtremeValueTheory">ExtremeValueTheory</a>crantastic_productiontag:crantastic.org,2005:TimelineEvent/516592016-05-31T11:21:48Z2016-05-31T11:21:48ZVGAMdata was upgraded to version 1.0-2<a href="/packages/VGAMdata">VGAMdata</a> was <span class="action">upgraded</span> to version <a href="/packages/VGAMdata/versions/49894">1.0-2</a><br /><h3>Package description:</h3><p>Data sets to accompany the VGAM package and the book "Vector Generalized Linear and Additive Models: With an Implementation in R" (Yee, 2015) <DOI:10.1007/978-1-4939-2818-7>. These are used to illustrate vector generalized linear and additive models (VGLMs/VGAMs), and associated models (Reduced-Rank VGLMs, Quadratic RR-VGLMs, Row-Column Interaction Models, and constrained and unconstrained ordination models in ecology).</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/515862016-05-27T16:21:43Z2016-05-27T16:21:43ZVGAM was upgraded to version 1.0-2<a href="/packages/VGAM">VGAM</a> was <span class="action">upgraded</span> to version <a href="/packages/VGAM/versions/49821">1.0-2</a><br /><h3>Package description:</h3><p>An implementation of about 6 major classes of statistical regression models. At the heart of it are the vector generalized linear and additive model (VGLM/VGAM) classes, and the book "Vector Generalized Linear and Additive Models: With an Implementation in R" (Yee, 2015) <DOI:10.1007/978-1-4939-2818-7> gives details of the statistical framework and VGAM package. Currently only fixed-effects models are implemented, i.e., no random-effects models. Many (150+) models and distributions are estimated by maximum likelihood estimation (MLE) or penalized MLE, using Fisher scoring. VGLMs can be loosely thought of as multivariate GLMs. VGAMs are data-driven VGLMs (i.e., with smoothing). The other classes are RR-VGLMs (reduced-rank VGLMs), quadratic RR-VGLMs, reduced-rank VGAMs, RCIMs (row-column interaction models)---these classes perform constrained and unconstrained quadratic ordination (CQO/UQO) models in ecology, as well as constrained additive ordination (CAO). Note that these functions are subject to change; see the NEWS and ChangeLog files for latest changes.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/495422016-03-15T10:01:35Z2016-03-15T10:01:35ZVGAM was upgraded to version 1.0-1<a href="/packages/VGAM">VGAM</a> was <span class="action">upgraded</span> to version <a href="/packages/VGAM/versions/47904">1.0-1</a><br /><h3>Package description:</h3><p>An implementation of about 6 major classes of statistical regression models. At the heart of it are the vector generalized linear and additive model (VGLM/VGAM) classes, and the book "Vector Generalized Linear and Additive Models: With an Implementation in R" (Yee, 2015) gives details of the statistical framework and VGAM package. Currently only fixed-effects models are implemented, i.e., no random-effects models. Many (150+) models and distributions are estimated by maximum likelihood estimation (MLE) or penalized MLE, using Fisher scoring. VGLMs can be loosely thought of as multivariate GLMs. VGAMs are data-driven VGLMs (i.e., with smoothing). The other classes are RR-VGLMs (reduced-rank VGLMs), quadratic RR-VGLMs, reduced-rank VGAMs, RCIMs (row-column interaction models)---these classes perform constrained and unconstrained quadratic ordination (CQO/UQO) models in ecology, as well as constrained additive ordination (CAO). Note that these functions are subject to change; see the NEWS and ChangeLog files for latest changes.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/490052016-03-12T00:15:25Z2016-03-12T00:15:25Zcrantastic_production tagged VGAM with SocialSciences<a href="/users/146">crantastic_production</a> <span class="action">tagged</span> <a href="/packages/VGAM">VGAM</a> with <a href="/task_views/SocialSciences">SocialSciences</a>crantastic_productiontag:crantastic.org,2005:TimelineEvent/447422015-10-29T07:52:45Z2015-10-29T07:52:45ZVGAMdata was upgraded to version 1.0-0<a href="/packages/VGAMdata">VGAMdata</a> was <span class="action">upgraded</span> to version <a href="/packages/VGAMdata/versions/44532">1.0-0</a><br /><h3>Package description:</h3><p>Data sets to accompany the VGAM package and the book "Vector Generalized Linear and Additive Models: With an Implementation in R" (Yee, 2015). These are used to illustrate vector generalized linear and additive models (VGLMs/VGAMs), and associated models (Reduced-Rank VGLMs, Quadratic RR-VGLMs, Row-Column Interaction Models, and constrained and unconstrained ordination models in ecology).</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/447412015-10-29T07:52:43Z2015-10-29T07:52:43ZVGAM was upgraded to version 1.0-0<a href="/packages/VGAM">VGAM</a> was <span class="action">upgraded</span> to version <a href="/packages/VGAM/versions/44531">1.0-0</a><br /><h3>Package description:</h3><p>An implementation of about 6 major classes of statistical regression models. At the heart of it are the vector generalized linear and additive model (VGLM/VGAM) classes, and the book "Vector Generalized Linear and Additive Models: With an Implementation in R" (Yee, 2015) gives details of the statistical framework and VGAM package. Currently only fixed-effects models are implemented, i.e., no random-effects models. Many (150+) models and distributions are estimated by maximum likelihood estimation (MLE) or penalized MLE, using Fisher scoring. VGLMs can be loosely thought of as multivariate GLMs. VGAMs are data-driven VGLMs (i.e., with smoothing). The other classes are RR-VGLMs (reduced-rank VGLMs), quadratic RR-VGLMs, reduced-rank VGAMs, RCIMs (row-column interaction models)---these classes perform constrained and unconstrained quadratic ordination (CQO/UQO) models in ecology, as well as constrained additive ordination (CAO). Note that these functions are subject to change; see the NEWS and ChangeLog files for latest changes.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/406972015-05-11T09:32:15Z2015-05-11T09:32:15ZVGAM was upgraded to version 0.9-8<a href="/packages/VGAM">VGAM</a> was <span class="action">upgraded</span> to version <a href="/packages/VGAM/versions/40497">0.9-8</a><br /><h3>Package description:</h3><p>An implementation of about 6 major classes of statistical regression models. At the heart of it are the vector generalized linear and additive model (VGLM/VGAM) classes. Currently only fixed-effects models are implemented, i.e., no random-effects models. Many (150+) models and distributions are estimated by maximum likelihood estimation (MLE) or penalized MLE, using Fisher scoring. VGLMs can be loosely thought of as multivariate GLMs. VGAMs are data-driven VGLMs (i.e., with smoothing). The other classes are RR-VGLMs (reduced-rank VGLMs), quadratic RR-VGLMs, reduced-rank VGAMs, RCIMs (row-column interaction models)---these classes perform constrained and unconstrained quadratic ordination (CQO/UQO) models in ecology, as well as constrained additive ordination (CAO). Note that these functions are subject to change, especially before version 1.0.0 is released; see the NEWS file for latest changes.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/396302015-03-17T07:12:00Z2015-03-17T07:12:00ZVGAMdata was upgraded to version 0.9-7<a href="/packages/VGAMdata">VGAMdata</a> was <span class="action">upgraded</span> to version <a href="/packages/VGAMdata/versions/39454">0.9-7</a><br /><h3>Package description:</h3><p>Data sets to accompany the VGAM package. These are used to illustrate vector generalized linear and additive models (VGLMs/VGAMs), and associated models (Reduced-Rank VGLMs, Quadratic RR-VGLMs, Row-Column Interaction Models, and constrained and unconstrained ordination models in ecology.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/394312015-03-06T09:51:56Z2015-03-06T09:51:56ZVGAM was upgraded to version 0.9-7<a href="/packages/VGAM">VGAM</a> was <span class="action">upgraded</span> to version <a href="/packages/VGAM/versions/39256">0.9-7</a><br /><h3>Package description:</h3><p>An implementation of about 6 major classes of statistical regression models. At the heart of it are the vector generalized linear and additive model (VGLM/VGAM) classes. Many (150+) models and distributions are estimated by maximum likelihood estimation (MLE) or penalized MLE, using Fisher scoring. VGLMs can be loosely thought of as multivariate GLMs. VGAMs are data-driven VGLMs (i.e., with smoothing). The other classes are RR-VGLMs (reduced-rank VGLMs), quadratic RR-VGLMs, reduced-rank VGAMs, RCIMs (row-column interaction models)---these classes perform constrained and unconstrained quadratic ordination (CQO/UQO) models in ecology, as well as constrained additive ordination (CAO). Note that these functions are subject to change, especially before version 1.0.0 is released; see the NEWS file for latest changes.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/376522014-11-06T00:13:04Z2014-11-06T00:13:04ZVGAM was upgraded to version 0.9-5<a href="/packages/VGAM">VGAM</a> was <span class="action">upgraded</span> to version <a href="/packages/VGAM/versions/35684">0.9-5</a><br /><h3>Package description:</h3><p>This package fits many (150+) models and distributions by maximum likelihood estimation (MLE) or penalized MLE, using Fisher scoring. This is done via the vector generalized linear and additive model (VGLM/VGAM) classes and associated models (reduced-rank VGLMs, quadratic RR-VGLMs, reduced-rank VGAMs, row-column interaction models). These are abbreviated RR-VGLMs, QRR-VGLMs, RR-VGAMs and RCIMs. These include constrained and unconstrained quadratic ordination (CQO/UQO) models in ecology as well as constrained additive ordination (CAO). Note that these functions are subject to change, especially before version 1.0.0 is released; see the NEWS file for latest changes.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/376142014-11-04T19:13:02Z2014-11-04T19:13:02ZVGAMdata was upgraded to version 0.9-5<a href="/packages/VGAMdata">VGAMdata</a> was <span class="action">upgraded</span> to version <a href="/packages/VGAMdata/versions/35649">0.9-5</a><br /><h3>Package description:</h3><p>Data sets to accompany the VGAM package. These are used to illustrate vector generalized linear and additive models (VGLMs/VGAMs), and associated models (Reduced-Rank VGLMs, Quadratic RR-VGLMs, Row-Column Interaction Models, and constrained and unconstrained ordination models in ecology.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/321912013-04-27T07:31:25Z2013-04-27T07:31:25ZVGAM was upgraded to version 0.9-1<a href="/packages/VGAM">VGAM</a> was <span class="action">upgraded</span> to version <a href="/packages/VGAM/versions/27384">0.9-1</a><br /><h3>Package description:</h3><p>Vector generalized linear and additive models, and associated models (Reduced-Rank VGLMs, Quadratic RR-VGLMs, Reduced-Rank VGAMs). This package fits many models and distribution by maximum likelihood estimation (MLE) or penalized MLE. Also fits constrained ordination models in ecology.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/320572013-04-23T06:11:24Z2013-04-23T06:11:24ZVGAMdata was released<a href="/packages/VGAMdata">VGAMdata</a> was <span class="action">released</span><br /><h3>Package description:</h3><p>Data sets to accompany the VGAM package and the book "Vector Generalized Linear and Additive Models: With an Implementation in R" (Yee, 2015) <DOI:10.1007/978-1-4939-2818-7>. These are used to illustrate vector generalized linear and additive models (VGLMs/VGAMs), and associated models (Reduced-Rank VGLMs, Quadratic RR-VGLMs, Row-Column Interaction Models, and constrained and unconstrained ordination models in ecology).</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/250102012-09-01T06:13:19Z2012-09-01T06:13:19ZVGAM was upgraded to version 0.9-0<a href="/packages/VGAM">VGAM</a> was <span class="action">upgraded</span> to version <a href="/packages/VGAM/versions/20984">0.9-0</a><br /><h3>Package description:</h3><p>Vector generalized linear and additive models, and associated models (Reduced-Rank VGLMs, Quadratic RR-VGLMs, Reduced-Rank VGAMs). This package fits many models and distribution by maximum likelihood estimation (MLE) or penalized MLE. Also fits constrained ordination models in ecology.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/217852012-04-13T11:11:28Z2012-04-13T11:11:28ZVGAM was upgraded to version 0.8-7<a href="/packages/VGAM">VGAM</a> was <span class="action">upgraded</span> to version <a href="/packages/VGAM/versions/18175">0.8-7</a><br /><h3>Package description:</h3><p>Vector generalized linear and additive models, and associated models (Reduced-Rank VGLMs, Quadratic RR-VGLMs, Reduced-Rank VGAMs). This package fits many models and distribution by maximum likelihood estimation (MLE) or penalized MLE. Also fits constrained ordination models in ecology.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/191192012-02-27T06:51:36Z2012-02-27T06:51:36ZVGAM was upgraded to version 0.8-6<a href="/packages/VGAM">VGAM</a> was <span class="action">upgraded</span> to version <a href="/packages/VGAM/versions/17243">0.8-6</a><br /><h3>Package description:</h3><p>Vector generalized linear and additive models, and associated models (Reduced-Rank VGLMs, Quadratic RR-VGLMs, Reduced-Rank VGAMs). This package fits many models and distribution by maximum likelihood estimation (MLE) or penalized MLE. Also fits constrained ordination models in ecology.</p>crantastic.org