tag:crantastic.org,2005:/authors/1726Latest activity for Corey Chivers2012-03-24T17:50:38Zcrantastic.orgtag:crantastic.org,2005:TimelineEvent/208172012-03-25T14:08:13Z2012-03-25T14:08:13ZAmalMohamed rated MHadaptive's documentation with 1 stars<a href="/users/899">AmalMohamed</a> <span class="action">rated</span> <a href="/packages/MHadaptive">MHadaptive</a>'s documentation with <span class="red">1 stars</span>AmalMohamedtag:crantastic.org,2005:TimelineEvent/208182012-03-25T14:08:13Z2012-03-25T14:08:13ZAmalMohamed rated MHadaptive's documentation with 1 stars<a href="/users/899">AmalMohamed</a> <span class="action">rated</span> <a href="/packages/MHadaptive">MHadaptive</a>'s documentation with <span class="red">1 stars</span>AmalMohamedtag:crantastic.org,2005:TimelineEvent/208152012-03-25T14:08:12Z2012-03-25T14:08:12ZAmalMohamed rated MHadaptive with 1 stars<a href="/users/899">AmalMohamed</a> <span class="action">rated</span> <a href="/packages/MHadaptive">MHadaptive</a> with <span class="red">1 stars</span>AmalMohamedtag:crantastic.org,2005:TimelineEvent/208162012-03-25T14:08:12Z2012-03-25T14:08:12ZAmalMohamed rated MHadaptive with 1 stars<a href="/users/899">AmalMohamed</a> <span class="action">rated</span> <a href="/packages/MHadaptive">MHadaptive</a> with <span class="red">1 stars</span>AmalMohamedtag:crantastic.org,2005:TimelineEvent/207602012-03-24T17:50:38Z2012-03-24T17:50:38ZMHadaptive was upgraded to version 1.1-8<a href="/packages/MHadaptive">MHadaptive</a> was <span class="action">upgraded</span> to version <a href="/packages/MHadaptive/versions/17771">1.1-8</a><br /><h3>Package description:</h3><p>Performs general Metropolis-Hastings Markov Chain Monte Carlo sampling of a user defined function which returns the un-normalized value (likelihood times prior) of a Bayesian model. The proposal variance-covariance structure is updated adaptively for efficient mixing when the structure of the target distribution is unknown. The package also provides some functions for Bayesian inference including Bayesian Credible Intervals (BCI) and Deviance Information Criterion (DIC) calculation.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/203842012-03-16T07:45:03Z2012-03-16T07:45:03ZBen rated MHadaptive's documentation with 5 stars<a href="/users/790">Ben</a> <span class="action">rated</span> <a href="/packages/MHadaptive">MHadaptive</a>'s documentation with <span class="red">5 stars</span>Bentag:crantastic.org,2005:TimelineEvent/203822012-03-16T07:45:00Z2012-03-16T07:45:00ZBen uses MHadaptive<a href="/users/790">Ben</a> <span class="action">uses</span> <a href="/packages/MHadaptive">MHadaptive</a>Bentag:crantastic.org,2005:TimelineEvent/192742012-03-06T06:10:40Z2012-03-06T06:10:40ZMHadaptive was upgraded to version 1.1-7<a href="/packages/MHadaptive">MHadaptive</a> was <span class="action">upgraded</span> to version <a href="/packages/MHadaptive/versions/17394">1.1-7</a><br /><h3>Package description:</h3><p>Performs general Metropolis-Hastings Markov Chain Monte Carlo sampling of a user defined function which returns the un-normalized value (likelihood times prior) of a Bayesian model. The proposal variance-covariance structure is updated adaptively for efficient mixing when the structure of the target distribution is unknown. The package also provides some functions for Bayesian inference including Bayesian Credible Intervals (BCI) and Deviance Information Criterion (DIC) calculation.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/181042011-12-15T19:28:02Z2011-12-15T19:28:02ZMHadaptive was upgraded to version 1.1-5<a href="/packages/MHadaptive">MHadaptive</a> was <span class="action">upgraded</span> to version <a href="/packages/MHadaptive/versions/16150">1.1-5</a><br /><h3>Package description:</h3><p>Performs general Metropolis-Hastings Markov Chain Monte Carlo sampling of a user defined function which returns the un-normalized value (likelihood times prior) of a Bayesian model. The proposal variance-covariance structure is updated adaptively for efficient mixing when the structure of the target distribution is unknown. The package also provides some functions for Bayesian inference including Bayesian Credible Intervals (BCI) and Deviance Information Criterion (DIC) calculation.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/172862011-11-05T18:10:27Z2011-11-05T18:10:27ZMHadaptive was upgraded to version 1.1-4<a href="/packages/MHadaptive">MHadaptive</a> was <span class="action">upgraded</span> to version <a href="/packages/MHadaptive/versions/15430">1.1-4</a><br /><h3>Package description:</h3><p>Performs general Metropolis-Hastings Markov Chain Monte Carlo sampling of a user defined function which returns the un-normalized value (likelihood times prior) of a Bayesian model. The proposal variance-covariance structure is updated adaptively for efficient mixing when the structure of the target distribution is unknown. The package also provides some functions for Bayesian inference including Bayesian Credible Intervals (BCI) and Deviance Information Criterion (DIC) calculation.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/166472011-10-14T06:50:23Z2011-10-14T06:50:23ZMHadaptive was upgraded to version 1.1-3<a href="/packages/MHadaptive">MHadaptive</a> was <span class="action">upgraded</span> to version <a href="/packages/MHadaptive/versions/14839">1.1-3</a><br /><h3>Package description:</h3><p>Performs general Metropolis-Hastings Markov Chain Monte Carlo sampling of a user defined function which returns the un-normalized value (likelihood times prior) of a Bayesian model. The proposal variance-covariance structure is updated adaptively for efficient mixing when the structure of the target distribution is unknown. The package also provides some functions for Bayesian inference including Bayesian Credible Intervals (BCI) and Deviance Information Criterion (DIC) calculation.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/155542011-08-22T15:12:47Z2011-08-22T15:12:47Zetienne.decarie uses MHadaptive<a href="/users/730">etienne.decarie</a> <span class="action">uses</span> <a href="/packages/MHadaptive">MHadaptive</a>etienne.decarietag:crantastic.org,2005:TimelineEvent/149832011-08-04T16:50:12Z2011-08-04T16:50:12ZMHadaptive was upgraded to version 1.1-2<a href="/packages/MHadaptive">MHadaptive</a> was <span class="action">upgraded</span> to version <a href="/packages/MHadaptive/versions/13513">1.1-2</a><br /><h3>Package description:</h3><p>Performs general Metropolis-Hastings Markov Chain Monte Carlo sampling of a user defined function which returns the un-normalized value (likelihood times prior) of a Bayesian model. The proposal variance-covariance structure is updated adaptively for efficient mixing when the structure of the target distribution is unknown. The package also provides some functions for Bayesian inference including Bayesian Credible Intervals (BCI) and Deviance Information Criterion (DIC) calculation.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/126852011-04-04T19:10:18Z2011-04-04T19:10:18ZMHadaptive was released<a href="/packages/MHadaptive">MHadaptive</a> was <span class="action">released</span><br /><h3>Package description:</h3><p>Performs general Metropolis-Hastings Markov Chain Monte Carlo sampling of a user defined function which returns the un-normalized value (likelihood times prior) of a Bayesian model. The proposal variance-covariance structure is updated adaptively for efficient mixing when the structure of the target distribution is unknown. The package also provides some functions for Bayesian inference including Bayesian Credible Intervals (BCI) and Deviance Information Criterion (DIC) calculation.</p>crantastic.org