Changes in version 2.1.1 (2017-08-11) o Update trtsel man files specifying that larger values of a continuous outcome should be associated with worse outcomes. Changes in version 2.1.0 (2017-07-25) Two key additions: o allow continuous and time-to-event outcomes o allow a user to evaluate models with more than one marker One minor additions: o updated the estimator of event rate under marker based treatment. Changes in version 2.0.4 o adjusted estimate of event rate under marker-based trt. Changes in version 2.0.3 (2017-02-09) Note: This is a large update with many changes. Although, the estimation methods remain the same, many of the functions inputs have changed. This is to accomodate multivariate models and survival outcomes. o Addition of 'trtsel_measures': a simple function for evaluating the performance of a user-specified marker-based treatment rule. o Input formulas into trtsel objects instead of univariate marker information. This allows for the evaluation of multivariate models. o The package now allows for survival outcomes. o Bias-correction to adjust for over-optimism that comes from evaluating models on the same data that were used to fit model parameters. `eval.trtsel` and `compare.trtsel` now implements a bootstrap bias-correction method. Changes in version 1.1.3 o tweaked estimation of Var(Delta) for subcohort designs. Changes in version 1.1.2 (2014-06-17) o added plot.type 'selection impact'. see ?plot.trtsel for more information. o fixed a small bug that caused warnings when plotting a trtsel object created from providing fixed risk estimates. Changes in version 1.1.1 (2014-04-07) o eval.trtsel: modeled estimates of event rates calculated for subcohort designs had a bug. Calculations now are correct. o eval.trtsel: also fixed bug where event rates werent calculated when bootstraps = 0. o eval.trtsel: fixed event rate labeling bug that swapped trt all for trt none. o plot.trtsel: added new plot.type that plots event rate under different marker based treatment assignment rules vs. F_delta(v). o plot.trtsel: the mean trt effect line for subcohort designs was not weighted correctly. this has been fixed for continuous and discrete markers. o plot.trtsel: fixed a bug building plots for subcohort designs with discrete markers o fixed various small things so that the package now has no warnings from R CMD Check o added manual files for tsdata_scc and tsdata_cc o calibrate.trtsel: fixed bug when calibrating models fit using stratified case-control data.