tag:crantastic.org,2005:/authors/4166Latest activity for Luis Hernando Vanegas2016-10-16T08:01:42Zcrantastic.orgtag:crantastic.org,2005:TimelineEvent/558982016-10-16T08:01:42Z2016-10-16T08:01:42Zssym was upgraded to version 1.5.7<a href="/packages/ssym">ssym</a> was <span class="action">upgraded</span> to version <a href="/packages/ssym/versions/53624">1.5.7</a><br /><h3>Package description:</h3><p>Set of tools to fit a semi-parametric regression model suitable for analysis of data sets in which the response variable is continuous, strictly positive, asymmetric and possibly, censored. Under this setup, both the median and the skewness of the response variable distribution are explicitly modeled by using semi-parametric functions, whose non-parametric components may be approximated by natural cubic splines or P-splines. Supported distributions for the model error include log-normal, log-Student-t, log-power-exponential, log-hyperbolic, log-contaminated-normal, log-slash, Birnbaum-Saunders and Birnbaum-Saunders-t distributions.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/530972016-07-22T00:01:34Z2016-07-22T00:01:34Zssym was upgraded to version 1.5.6<a href="/packages/ssym">ssym</a> was <span class="action">upgraded</span> to version <a href="/packages/ssym/versions/51256">1.5.6</a><br /><h3>Package description:</h3><p>Set of tools to fit a semi-parametric regression model suitable for analysis of data sets in which the response variable is continuous, strictly positive, asymmetric and possibly, censored. Under this setup, both the median and the skewness of the response variable distribution are explicitly modeled by using semi-parametric functions, whose non-parametric components may be approximated by natural cubic splines or P-splines. Supported distributions for the model error include log-normal, log-Student-t, log-power-exponential, log-hyperbolic, log-contaminated-normal, log-slash, Birnbaum-Saunders and Birnbaum-Saunders-t distributions.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/479302016-03-07T07:12:59Z2016-03-07T07:12:59Zssym was upgraded to version 1.5.5<a href="/packages/ssym">ssym</a> was <span class="action">upgraded</span> to version <a href="/packages/ssym/versions/47677">1.5.5</a><br /><h3>Package description:</h3><p>Set of tools to fit a semi-parametric regression model suitable for analysis of data sets in which the response variable is continuous, strictly positive, asymmetric and possibly, censored. Under this setup, both the median and the skewness of the response variable distribution are explicitly modeled by using semi-parametric functions, whose non-parametric components may be approximated by natural cubic splines or P-splines. Supported distributions for the model error include log-normal, log-Student-t, log-power-exponential, log-hyperbolic, log-contaminated-normal, log-slash, Birnbaum-Saunders and Birnbaum-Saunders-t distributions.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/445712015-10-22T06:32:33Z2015-10-22T06:32:33Zssym was upgraded to version 1.5.4<a href="/packages/ssym">ssym</a> was <span class="action">upgraded</span> to version <a href="/packages/ssym/versions/44363">1.5.4</a><br /><h3>Package description:</h3><p>Set of tools to fit a semi-parametric regression model suitable for analysis of data sets in which the response variable is continuous, strictly positive, asymmetric and possibly, censored. Under this setup, both the median and the skewness of the response variable distribution are explicitly modeled by using semi-parametric functions, whose non-parametric components may be approximated by natural cubic splines or P-splines. Supported distributions for the model error include log-normal, log-Student-t, log-power-exponential, log-hyperbolic, log-contaminated-normal, log-slash, Birnbaum-Saunders and Birnbaum-Saunders-t distributions.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/411902015-06-04T19:12:04Z2015-06-04T19:12:04Zssym was upgraded to version 1.5.3<a href="/packages/ssym">ssym</a> was <span class="action">upgraded</span> to version <a href="/packages/ssym/versions/40990">1.5.3</a><br /><h3>Package description:</h3><p>Set of tools to fit a semi-parametric regression model suitable for analysis of data sets in which the response variable is continuous, strictly positive, asymmetric and possibly, censored. Under this setup, both the median and the skewness of the response variable distribution are explicitly modeled by using semi-parametric functions, whose non-parametric components may be approximated by natural cubic splines or P-splines. Supported distributions for the model error include log-normal, log-Student-t, log-power-exponential, log-hyperbolic, log-contaminated-normal, log-slash, Birnbaum-Saunders and Birnbaum-Saunders-t distributions.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/359252014-04-02T14:32:06Z2014-04-02T14:32:06Zssym was released<a href="/packages/ssym">ssym</a> was <span class="action">released</span><br /><h3>Package description:</h3><p>Set of tools to fit a semi-parametric regression model suitable for analysis of data sets in which the response variable is continuous, strictly positive, asymmetric and possibly, censored. Under this setup, both the median and the skewness of the response variable distribution are explicitly modeled by using semi-parametric functions, whose non-parametric components may be approximated by natural cubic splines or P-splines. Supported distributions for the model error include log-normal, log-Student-t, log-power-exponential, log-hyperbolic, log-contaminated-normal, log-slash, Birnbaum-Saunders and Birnbaum-Saunders-t distributions.</p>crantastic.org