tag:crantastic.org,2005:/authors/5176Latest activity for Maxime Turgeon2018-03-17T04:42:25Zcrantastic.orgtag:crantastic.org,2005:TimelineEvent/726872018-03-17T04:42:25Z2018-03-17T04:42:25ZrootWishart was upgraded to version 0.4.1<a href="/packages/rootWishart">rootWishart</a> was <span class="action">upgraded</span> to version <a href="/packages/rootWishart/versions/69381">0.4.1</a><br /><h3>Package description:</h3><p>Functions for hypothesis testing in single and double Wishart settings, based on Roy's largest root. This test statistic is especially useful in multivariate analysis. The computations are based on results by Chiani (2014) <DOI:10.1016/j.jmva.2014.04.002> and Chiani (2016) <DOI:10.1016/j.jmva.2015.10.007>. They use the fact that the CDF is related to the Pfaffian of a matrix that can be computed in a finite number of iterations. This package takes advantage of the Boost and Eigen C++ libraries to perform multi-precision linear algebra.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/711982018-02-03T23:22:10Z2018-02-03T23:22:10Zpcev was upgraded to version 2.2.2<a href="/packages/pcev">pcev</a> was <span class="action">upgraded</span> to version <a href="/packages/pcev/versions/67994">2.2.2</a><br /><h3>Package description:</h3><p>Principal component of explained variance (PCEV) is a statistical tool for the analysis of a multivariate response vector. It is a dimension- reduction technique, similar to Principal component analysis (PCA), that seeks to maximize the proportion of variance (in the response vector) being explained by a set of covariates.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/673552017-10-14T13:20:32Z2017-10-14T13:20:32Zcovequal was released<a href="/packages/covequal">covequal</a> was <span class="action">released</span><br /><h3>Package description:</h3><p>Computes p-values using the largest root test using an approximation to the null distribution by Johnstone (2008) <DOI:10.1214/08-AOS605>.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/672362017-10-11T03:41:46Z2017-10-11T03:41:46Zpcev was upgraded to version 2.2.1<a href="/packages/pcev">pcev</a> was <span class="action">upgraded</span> to version <a href="/packages/pcev/versions/64315">2.2.1</a><br /><h3>Package description:</h3><p>Principal component of explained variance (PCEV) is a statistical tool for the analysis of a multivariate response vector. It is a dimension- reduction technique, similar to Principal component analysis (PCA), that seeks to maximize the proportion of variance (in the response vector) being explained by a set of covariates.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/620562017-04-30T22:41:58Z2017-04-30T22:41:58ZrootWishart was upgraded to version 0.4.0<a href="/packages/rootWishart">rootWishart</a> was <span class="action">upgraded</span> to version <a href="/packages/rootWishart/versions/59350">0.4.0</a><br /><h3>Package description:</h3><p>Functions for hypothesis testing in single and double Wishart settings, based on Roy's largest root. This test statistic is especially useful in multivariate analysis. The computations are based on results by Chiani (2014) <DOI:10.1016/j.jmva.2014.04.002> and Chiani (2016) <DOI:10.1016/j.jmva.2015.10.007>. They use the fact that the CDF is related to the Pfaffian of a matrix that can be computed in a finite number of iterations. This package takes advantage of the Boost and Eigen C++ libraries to perform multi-precision linear algebra.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/528702016-07-13T14:41:18Z2016-07-13T14:41:18ZrootWishart was released<a href="/packages/rootWishart">rootWishart</a> was <span class="action">released</span><br /><h3>Package description:</h3><p>Functions for hypothesis testing in single and double Wishart settings, based on Roy's largest root. This test statistic is especially useful in multivariate analysis. The computations are based on results by Chiani (2014) <DOI:10.1016/j.jmva.2014.04.002> and Chiani (2016) <DOI:10.1016/j.jmva.2015.10.007>. They use the fact that the CDF is related to the Pfaffian of a matrix that can be computed in a finite number of iterations. This package takes advantage of the Boost and Eigen C++ libraries to perform multi-precision linear algebra.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/458062015-12-15T08:31:56Z2015-12-15T08:31:56Zpcev was released<a href="/packages/pcev">pcev</a> was <span class="action">released</span><br /><h3>Package description:</h3><p>Principal component of explained variance (PCEV) is a statistical tool for the analysis of a multivariate response vector. It is a dimension- reduction technique, similar to Principal component analysis (PCA), that seeks to maximize the proportion of variance (in the response vector) being explained by a set of covariates.</p>crantastic.org