tag:crantastic.org,2005:/packages/rmsLatest activity for rms2017-01-09T16:49:24Zcrantastic.orgtag:crantastic.org,2005:TimelineEvent/582742017-01-09T16:49:24Z2017-01-09T16:49:24Zrms was upgraded to version 5.1-0<a href="/packages/rms">rms</a> was <span class="action">upgraded</span> to version <a href="/packages/rms/versions/55796">5.1-0</a><br /><h3>Package description:</h3><p>Regression modeling, testing, estimation, validation, graphics, prediction, and typesetting by storing enhanced model design attributes in the fit. 'rms' is a collection of functions that assist with and streamline modeling. It also contains functions for binary and ordinal logistic regression models, ordinal models for continuous Y with a variety of distribution families, and the Buckley-James multiple regression model for right-censored responses, and implements penalized maximum likelihood estimation for logistic and ordinary linear models. 'rms' works with almost any regression model, but it was especially written to work with binary or ordinal regression models, Cox regression, accelerated failure time models, ordinary linear models, the Buckley-James model, generalized least squares for serially or spatially correlated observations, generalized linear models, and quantile regression.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/574902016-12-08T14:01:46Z2016-12-08T14:01:46Zrms was upgraded to version 5.0-1<a href="/packages/rms">rms</a> was <span class="action">upgraded</span> to version <a href="/packages/rms/versions/55041">5.0-1</a><br /><h3>Package description:</h3><p>Regression modeling, testing, estimation, validation, graphics, prediction, and typesetting by storing enhanced model design attributes in the fit. 'rms' is a collection of functions that assist with and streamline modeling. It also contains functions for binary and ordinal logistic regression models, ordinal models for continuous Y with a variety of distribution families, and the Buckley-James multiple regression model for right-censored responses, and implements penalized maximum likelihood estimation for logistic and ordinary linear models. 'rms' works with almost any regression model, but it was especially written to work with binary or ordinal regression models, Cox regression, accelerated failure time models, ordinary linear models, the Buckley-James model, generalized least squares for serially or spatially correlated observations, generalized linear models, and quantile regression.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/564312016-11-03T12:03:16Z2016-11-03T12:03:16ZFrankieFillmore reviewed rms with these words<a href="/users/2037">FrankieFillmore</a> <span class="action">reviewed</span> <a href="/packages/rms">rms</a> with <a href="/packages/rms/reviews/309">these words</a>FrankieFillmoretag:crantastic.org,2005:TimelineEvent/564042016-11-03T10:21:39Z2016-11-03T10:21:39Zrms was upgraded to version 5.0-0<a href="/packages/rms">rms</a> was <span class="action">upgraded</span> to version <a href="/packages/rms/versions/54084">5.0-0</a><br /><h3>Package description:</h3><p>Regression modeling, testing, estimation, validation, graphics, prediction, and typesetting by storing enhanced model design attributes in the fit. 'rms' is a collection of functions that assist with and streamline modeling. It also contains functions for binary and ordinal logistic regression models, ordinal models for continuous Y with a variety of distribution families, and the Buckley-James multiple regression model for right-censored responses, and implements penalized maximum likelihood estimation for logistic and ordinary linear models. 'rms' works with almost any regression model, but it was especially written to work with binary or ordinal regression models, Cox regression, accelerated failure time models, ordinary linear models, the Buckley-James model, generalized least squares for serially or spatially correlated observations, generalized linear models, and quantile regression.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/532022016-07-25T04:58:40Z2016-07-25T04:58:40ZQuenkrfixy reviewed rms with these words<a href="/users/1966">Quenkrfixy</a> <span class="action">reviewed</span> <a href="/packages/rms">rms</a> with <a href="/packages/rms/reviews/275">these words</a>Quenkrfixytag:crantastic.org,2005:TimelineEvent/512432016-05-16T04:02:29Z2016-05-16T04:02:29Zhaminhyoung uses rms<a href="/users/1926">haminhyoung</a> <span class="action">uses</span> <a href="/packages/rms">rms</a>haminhyoungtag:crantastic.org,2005:TimelineEvent/503232016-04-12T05:19:26Z2016-04-12T05:19:26Zhi5blast1 reviewed rms with these words<a href="/users/1907">hi5blast1</a> <span class="action">reviewed</span> <a href="/packages/rms">rms</a> with <a href="/packages/rms/reviews/256">these words</a>hi5blast1tag:crantastic.org,2005:TimelineEvent/500932016-04-04T07:01:49Z2016-04-04T07:01:49Zrms was upgraded to version 4.5-0<a href="/packages/rms">rms</a> was <span class="action">upgraded</span> to version <a href="/packages/rms/versions/48451">4.5-0</a><br /><h3>Package description:</h3><p>Regression modeling, testing, estimation, validation, graphics, prediction, and typesetting by storing enhanced model design attributes in the fit. 'rms' is a collection of functions that assist with and streamline modeling. It also contains functions for binary and ordinal logistic regression models, ordinal models for continuous Y with a variety of distribution families, and the Buckley-James multiple regression model for right-censored responses, and implements penalized maximum likelihood estimation for logistic and ordinary linear models. 'rms' works with almost any regression model, but it was especially written to work with binary or ordinal regression models, Cox regression, accelerated failure time models, ordinary linear models, the Buckley-James model, generalized least squares for serially or spatially correlated observations, generalized linear models, and quantile regression.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/474942016-02-21T19:12:50Z2016-02-21T19:12:50Zrms was upgraded to version 4.4-2<a href="/packages/rms">rms</a> was <span class="action">upgraded</span> to version <a href="/packages/rms/versions/47251">4.4-2</a><br /><h3>Package description:</h3><p>Regression modeling, testing, estimation, validation, graphics, prediction, and typesetting by storing enhanced model design attributes in the fit. 'rms' is a collection of functions that assist with and streamline modeling. It also contains functions for binary and ordinal logistic regression models, ordinal models for continuous Y with a variety of distribution families, and the Buckley-James multiple regression model for right-censored responses, and implements penalized maximum likelihood estimation for logistic and ordinary linear models. 'rms' works with almost any regression model, but it was especially written to work with binary or ordinal regression models, Cox regression, accelerated failure time models, ordinary linear models, the Buckley-James model, generalized least squares for serially or spatially correlated observations, generalized linear models, and quantile regression.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/469522016-01-30T22:42:42Z2016-01-30T22:42:42Zsusie reviewed rms with these words<a href="/users/1866">susie</a> <span class="action">reviewed</span> <a href="/packages/rms">rms</a> with <a href="/packages/rms/reviews/254">these words</a>susietag:crantastic.org,2005:TimelineEvent/459792015-12-21T20:52:09Z2015-12-21T20:52:09Zrms was upgraded to version 4.4-1<a href="/packages/rms">rms</a> was <span class="action">upgraded</span> to version <a href="/packages/rms/versions/45774">4.4-1</a><br /><h3>Package description:</h3><p>Regression modeling, testing, estimation, validation, graphics, prediction, and typesetting by storing enhanced model design attributes in the fit. 'rms' is a collection of functions that assist with and streamline modeling. It also contains functions for binary and ordinal logistic regression models, ordinal models for continuous Y with a variety of distribution families, and the Buckley-James multiple regression model for right-censored responses, and implements penalized maximum likelihood estimation for logistic and ordinary linear models. 'rms' works with almost any regression model, but it was especially written to work with binary or ordinal regression models, Cox regression, accelerated failure time models, ordinary linear models, the Buckley-James model, generalized least squares for serially or spatially correlated observations, generalized linear models, and quantile regression.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/456592015-12-09T08:31:09Z2015-12-09T08:31:09Zjenifferhomes rated rms with 5 stars<a href="/users/948">jenifferhomes</a> <span class="action">rated</span> <a href="/packages/rms">rms</a> with <span class="red">5 stars</span>jenifferhomestag:crantastic.org,2005:TimelineEvent/439882015-09-28T15:12:10Z2015-09-28T15:12:10Zrms was upgraded to version 4.4-0<a href="/packages/rms">rms</a> was <span class="action">upgraded</span> to version <a href="/packages/rms/versions/43780">4.4-0</a><br /><h3>Package description:</h3><p>Regression modeling, testing, estimation, validation, graphics, prediction, and typesetting by storing enhanced model design attributes in the fit. 'rms' is a collection of functions that assist with and streamline modeling. It also contains functions for binary and ordinal logistic regression models, ordinal models for continuous Y with a variety of distribution families, and the Buckley-James multiple regression model for right-censored responses, and implements penalized maximum likelihood estimation for logistic and ordinary linear models. 'rms' works with almost any regression model, but it was especially written to work with binary or ordinal regression models, Cox regression, accelerated failure time models, ordinary linear models, the Buckley-James model, generalized least squares for serially or spatially correlated observations, generalized linear models, and quantile regression.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/404962015-04-30T23:51:48Z2015-04-30T23:51:48Zrms was upgraded to version 4.3-1<a href="/packages/rms">rms</a> was <span class="action">upgraded</span> to version <a href="/packages/rms/versions/40297">4.3-1</a><br /><h3>Package description:</h3><p>Regression modeling, testing, estimation, validation, graphics, prediction, and typesetting by storing enhanced model design attributes in the fit. rms is a collection of functions that assist with and streamline modeling. It also contains functions for binary and ordinal logistic regression models, ordinal models for continuous Y with a variety of distribution families, and the Buckley-James multiple regression model for right-censored responses, and implements penalized maximum likelihood estimation for logistic and ordinary linear models. rms works with almost any regression model, but it was especially written to work with binary or ordinal regression models, Cox regression, accelerated failure time models, ordinary linear models, the Buckley-James model, generalized least squares for serially or spatially correlated observations, generalized linear models, and quantile regression.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/390192015-02-16T06:31:27Z2015-02-16T06:31:27Zrms was upgraded to version 4.3-0<a href="/packages/rms">rms</a> was <span class="action">upgraded</span> to version <a href="/packages/rms/versions/38840">4.3-0</a><br /><h3>Package description:</h3><p>Regression modeling, testing, estimation, validation, graphics, prediction, and typesetting by storing enhanced model design attributes in the fit. rms is a collection of functions that assist with and streamline modeling. It also contains functions for binary and ordinal logistic regression models, ordinal models for continuous Y with a variety of distribution families, and the Buckley-James multiple regression model for right-censored responses, and implements penalized maximum likelihood estimation for logistic and ordinary linear models. rms works with almost any regression model, but it was especially written to work with binary or ordinal regression models, Cox regression, accelerated failure time models, ordinary linear models, the Buckley-James model, generalized least squares for serially or spatially correlated observations, generalized linear models, and quantile regression.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/380102014-12-23T08:42:30Z2014-12-23T08:42:30ZKathrincolyn reviewed rms with these words<a href="/users/1681">Kathrincolyn</a> <span class="action">reviewed</span> <a href="/packages/rms">rms</a> with <a href="/packages/rms/reviews/240">these words</a>Kathrincolyntag:crantastic.org,2005:TimelineEvent/380092014-12-23T08:41:54Z2014-12-23T08:41:54ZKathrincolyn reviewed rms with these words<a href="/users/1681">Kathrincolyn</a> <span class="action">reviewed</span> <a href="/packages/rms">rms</a> with <a href="/packages/rms/reviews/239">these words</a>Kathrincolyntag:crantastic.org,2005:TimelineEvent/380082014-12-23T08:40:28Z2014-12-23T08:40:28ZKathrincolyn reviewed rms with these words<a href="/users/1681">Kathrincolyn</a> <span class="action">reviewed</span> <a href="/packages/rms">rms</a> with <a href="/packages/rms/reviews/238">these words</a>Kathrincolyntag:crantastic.org,2005:TimelineEvent/380072014-12-23T08:40:00Z2014-12-23T08:40:00ZKathrincolyn reviewed rms with these words<a href="/users/1681">Kathrincolyn</a> <span class="action">reviewed</span> <a href="/packages/rms">rms</a> with <a href="/packages/rms/reviews/237">these words</a>Kathrincolyntag:crantastic.org,2005:TimelineEvent/380052014-12-23T08:39:06Z2014-12-23T08:39:06ZKathrincolyn reviewed rms with these words<a href="/users/1681">Kathrincolyn</a> <span class="action">reviewed</span> <a href="/packages/rms">rms</a> with <a href="/packages/rms/reviews/235">these words</a>Kathrincolyntag:crantastic.org,2005:TimelineEvent/380042014-12-23T08:34:52Z2014-12-23T08:34:52ZKathrincolyn rated rms with 5 stars<a href="/users/1681">Kathrincolyn</a> <span class="action">rated</span> <a href="/packages/rms">rms</a> with <span class="red">5 stars</span>Kathrincolyntag:crantastic.org,2005:TimelineEvent/380032014-12-23T08:34:51Z2014-12-23T08:34:51ZKathrincolyn rated rms with 4 stars<a href="/users/1681">Kathrincolyn</a> <span class="action">rated</span> <a href="/packages/rms">rms</a> with <span class="red">4 stars</span>Kathrincolyntag:crantastic.org,2005:TimelineEvent/380022014-12-23T08:33:48Z2014-12-23T08:33:48ZKathrincolyn rated rms with 5 stars<a href="/users/1681">Kathrincolyn</a> <span class="action">rated</span> <a href="/packages/rms">rms</a> with <span class="red">5 stars</span>Kathrincolyntag:crantastic.org,2005:TimelineEvent/369962014-09-18T22:52:09Z2014-09-18T22:52:09Zrms was upgraded to version 4.2-1<a href="/packages/rms">rms</a> was <span class="action">upgraded</span> to version <a href="/packages/rms/versions/35070">4.2-1</a><br /><h3>Package description:</h3><p>Regression modeling, testing, estimation, validation, graphics, prediction, and typesetting by storing enhanced model design attributes in the fit. rms is a collection of functions that assist with and streamline modeling. It also contains functions for binary and ordinal logistic regression models, ordinal models for continuous Y with a variety of distribution families, and the Buckley-James multiple regression model for right-censored responses, and implements penalized maximum likelihood estimation for logistic and ordinary linear models. rms works with almost any regression model, but it was especially written to work with binary or ordinal regression models, Cox regression, accelerated failure time models, ordinary linear models, the Buckley-James model, generalized least squares for serially or spatially correlated observations, generalized linear models, and quantile regression.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/363212014-06-17T11:05:01Z2014-06-17T11:05:01Zjenifferhomes rated rms with 4 stars<a href="/users/948">jenifferhomes</a> <span class="action">rated</span> <a href="/packages/rms">rms</a> with <span class="red">4 stars</span>jenifferhomes