tag:crantastic.org,2005:/packages/simsurvLatest activity for simsurv2018-05-18T04:25:24Zcrantastic.orgtag:crantastic.org,2005:TimelineEvent/752052018-05-18T04:25:24Z2018-05-18T04:25:24Zsimsurv was upgraded to version 0.2.2<a href="/packages/simsurv">simsurv</a> was <span class="action">upgraded</span> to version <a href="/packages/simsurv/versions/71803">0.2.2</a><br /><h3>Package description:</h3><p>Simulate survival times from standard parametric survival distributions (exponential, Weibull, Gompertz), 2-component mixture distributions, or a user-defined hazard, log hazard, cumulative hazard, or log cumulative hazard function. Baseline covariates can be included under a proportional hazards assumption. Time dependent effects (i.e. non-proportional hazards) can be included by interacting covariates with linear time or a user-defined function of time. Clustered event times are also accommodated. The 2-component mixture distributions can allow for a variety of flexible baseline hazard functions reflecting those seen in practice. If the user wishes to provide a user-defined hazard or log hazard function then this is possible, and the resulting cumulative hazard function does not need to have a closed-form solution. Note that this package is modelled on the 'survsim' package available in the 'Stata' software (see Crowther and Lambert (2012) <http://www.stata-journal.com/sjpdf.html?articlenum=st0275> or Crowther and Lambert (2013) <doi:10.1002/sim.5823>).</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/722322018-03-06T04:22:32Z2018-03-06T04:22:32Zsimsurv was upgraded to version 0.2.0<a href="/packages/simsurv">simsurv</a> was <span class="action">upgraded</span> to version <a href="/packages/simsurv/versions/68980">0.2.0</a><br /><h3>Package description:</h3><p>Simulate survival times from standard parametric survival distributions (exponential, Weibull, Gompertz), 2-component mixture distributions, or a user-defined hazard, log hazard, cumulative hazard, or log cumulative hazard function. Baseline covariates can be included under a proportional hazards assumption. Time dependent effects (i.e. non-proportional hazards) can be included by interacting covariates with linear time or some transformation of time. The 2-component mixture distributions can allow for a variety of flexible baseline hazard functions. If the user wishes to provide a user-defined hazard or log hazard function then this is possible, and the resulting cumulative hazard function does not need to have a closed-form solution. Note that this package is modelled on the 'survsim' package available in the 'Stata' software (see Crowther and Lambert (2012) <http://www.stata-journal.com/sjpdf.html?articlenum=st0275> or Crowther and Lambert (2013) <doi:10.1002/sim.5823>).</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/720482018-02-28T08:15:28Z2018-02-28T08:15:28Zcrantastic_production tagged simsurv with Survival<a href="/users/146">crantastic_production</a> <span class="action">tagged</span> <a href="/packages/simsurv">simsurv</a> with <a href="/task_views/Survival">Survival</a>crantastic_productiontag:crantastic.org,2005:TimelineEvent/649322017-07-27T11:22:23Z2017-07-27T11:22:23Zsimsurv was released<a href="/packages/simsurv">simsurv</a> was <span class="action">released</span><br /><h3>Package description:</h3><p>Simulate survival times from standard parametric survival distributions (exponential, Weibull, Gompertz), 2-component mixture distributions, or a user-defined hazard, log hazard, cumulative hazard, or log cumulative hazard function. Baseline covariates can be included under a proportional hazards assumption. Time dependent effects (i.e. non-proportional hazards) can be included by interacting covariates with linear time or a user-defined function of time. Clustered event times are also accommodated. The 2-component mixture distributions can allow for a variety of flexible baseline hazard functions reflecting those seen in practice. If the user wishes to provide a user-defined hazard or log hazard function then this is possible, and the resulting cumulative hazard function does not need to have a closed-form solution. Note that this package is modelled on the 'survsim' package available in the 'Stata' software (see Crowther and Lambert (2012) <http://www.stata-journal.com/sjpdf.html?articlenum=st0275> or Crowther and Lambert (2013) <doi:10.1002/sim.5823>).</p>crantastic.org