tag:crantastic.org,2005:/authors/3235Latest activity for Lee S. McDaniel2018-09-28T18:22:54Zcrantastic.orgtag:crantastic.org,2005:TimelineEvent/799372018-09-28T18:22:53Z2018-09-28T18:22:53ZtiteIR was released<a href="/packages/titeIR">titeIR</a> was <span class="action">released</span><br /><h3>Package description:</h3><p>Functions to design phase 1 trials using an isotonic regression based design incorporating time-to-event information. Simulation and design functions are available, which incorporate information about followup and DLTs, and apply isotonic regression to devise estimates of DLT probability.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/765232018-06-18T16:01:24Z2018-06-18T16:01:24ZgeeM was upgraded to version 0.10.1<a href="/packages/geeM">geeM</a> was <span class="action">upgraded</span> to version <a href="/packages/geeM/versions/73005">0.10.1</a><br /><h3>Package description:</h3><p>GEE estimation of the parameters in mean structures with possible correlation between the outcomes. User-specified mean link and variance functions are allowed, along with observation weighting. The 'M' in the name 'geeM' is meant to emphasize the use of the Matrix package, which allows for an implementation based fully in R.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/742462018-04-25T19:42:48Z2018-04-25T19:42:48ZSOR was upgraded to version 0.23.1<a href="/packages/SOR">SOR</a> was <span class="action">upgraded</span> to version <a href="/packages/SOR/versions/70874">0.23.1</a><br /><h3>Package description:</h3><p>Estimation for longitudinal data following outcome dependent sampling using the sequential offsetted regression technique. Includes support for binary, count, and continuous data. The first regression is a logistic regression, which uses a known ratio (the probability of being sampled given that the subject/observation was referred divided by the probability of being sampled given that the subject/observation was no referred) as an offset to estimate the probability of being referred given outcome and covariates. The second regression uses this estimated probability to calculate the mean population response given covariates.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/575622016-12-09T22:01:42Z2016-12-09T22:01:42ZSOR was upgraded to version 0.23.0<a href="/packages/SOR">SOR</a> was <span class="action">upgraded</span> to version <a href="/packages/SOR/versions/55113">0.23.0</a><br /><h3>Package description:</h3><p>Estimation for longitudinal data following outcome dependent sampling using the sequential offsetted regression technique. Includes support for binary, count, and continuous data. The first regression is a logistic regression, which uses a known ratio (the probability of being sampled given that the subject/observation was referred divided by the probability of being sampled given that the subject/observation was no referred) as an offset to estimate the probability of being referred given outcome and covariates. The second regression uses this estimated probability to calculate the mean population response given covariates.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/574162016-12-05T22:00:55Z2016-12-05T22:00:55ZgeeM was upgraded to version 0.10.0<a href="/packages/geeM">geeM</a> was <span class="action">upgraded</span> to version <a href="/packages/geeM/versions/54967">0.10.0</a><br /><h3>Package description:</h3><p>GEE estimation of the parameters in mean structures with possible correlation between the outcomes. User-specified mean link and variance functions are allowed, along with observation weighting. The "M" in the name "geeM" is meant to emphasize the use of the Matrix package, which allows for an implementation based fully in R.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/521292016-06-17T20:00:37Z2016-06-17T20:00:37ZgeeM was upgraded to version 0.9.0<a href="/packages/geeM">geeM</a> was <span class="action">upgraded</span> to version <a href="/packages/geeM/versions/50349">0.9.0</a><br /><h3>Package description:</h3><p>GEE estimation of the parameters in mean structures with possible correlation between the outcomes. User-specified mean link and variance functions are allowed, along with observation weighting. The "M" in the name "geeM" is meant to emphasize the use of the Matrix package, which allows for an implementation based fully in R.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/446432015-10-25T08:11:05Z2015-10-25T08:11:05ZgeeM was upgraded to version 0.8.0<a href="/packages/geeM">geeM</a> was <span class="action">upgraded</span> to version <a href="/packages/geeM/versions/44435">0.8.0</a><br /><h3>Package description:</h3><p>GEE estimation of the parameters in mean structures with possible correlation between the outcomes. User-specified mean link and variance functions are allowed, along with observation weighting. The "M" in the name "geeM" is meant to emphasize the use of the Matrix package, which allows for an implementation based fully in R.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/409692015-05-26T00:31:02Z2015-05-26T00:31:02ZgeeM was upgraded to version 0.7.4<a href="/packages/geeM">geeM</a> was <span class="action">upgraded</span> to version <a href="/packages/geeM/versions/40769">0.7.4</a><br /><h3>Package description:</h3><p>GEE estimation of the parameters in mean structures with possible correlation between the outcomes. User-specified mean link and variance functions are allowed, along with observation weighting. The "M" in the name "geeM" is meant to emphasize the use of the Matrix package, which allows for an implementation based fully in R.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/401142015-04-13T11:11:03Z2015-04-13T11:11:03ZgeeM was upgraded to version 0.7.3<a href="/packages/geeM">geeM</a> was <span class="action">upgraded</span> to version <a href="/packages/geeM/versions/39915">0.7.3</a><br /><h3>Package description:</h3><p>Allows generalized estimating equation fits with user-specified link and variance functions.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/369362014-09-15T15:12:36Z2014-09-15T15:12:36ZSOR was released<a href="/packages/SOR">SOR</a> was <span class="action">released</span><br /><h3>Package description:</h3><p>Estimation for longitudinal data following outcome dependent sampling using the sequential offsetted regression technique. Includes support for binary, count, and continuous data. The first regression is a logistic regression, which uses a known ratio (the probability of being sampled given that the subject/observation was referred divided by the probability of being sampled given that the subject/observation was no referred) as an offset to estimate the probability of being referred given outcome and covariates. The second regression uses this estimated probability to calculate the mean population response given covariates.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/322482013-04-30T04:30:41Z2013-04-30T04:30:41ZgeeM was upgraded to version 0.06<a href="/packages/geeM">geeM</a> was <span class="action">upgraded</span> to version <a href="/packages/geeM/versions/27438">0.06</a><br /><h3>Package description:</h3><p>Allows generalized estimating equation fits with user-specified link and variance functions.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/262212012-10-18T06:30:56Z2012-10-18T06:30:56ZgeeM was released<a href="/packages/geeM">geeM</a> was <span class="action">released</span><br /><h3>Package description:</h3><p>GEE estimation of the parameters in mean structures with possible correlation between the outcomes. User-specified mean link and variance functions are allowed, along with observation weighting. The 'M' in the name 'geeM' is meant to emphasize the use of the Matrix package, which allows for an implementation based fully in R.</p>crantastic.org