TreatmentSelection 1.1.3
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* tweaked estimation of Var(Delta) for subcohort designs.
TreatmentSelection 1.1.2
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* added plot.type 'selection impact'. see ?plot.trtsel for more information.
* fixed a small bug that caused warnings when plotting a trtsel object created from providing fixed risk estimates.
TreatmentSelection 1.1.1
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* eval.trtsel: modeled estimates of event rates calculated for subcohort designs had a bug. Calculations now are correct.
* eval.trtsel: also fixed bug where event rates werent calculated when bootstraps = 0.
* eval.trtsel: fixed event rate labeling bug that swapped trt all for trt none.
* plot.trtsel: added new plot.type that plots event rate under different marker based treatment assignment rules vs. F_delta(v).
* plot.trtsel: the mean trt effect line for subcohort designs was not weighted correctly. this has been fixed for continuous and discrete markers.
* plot.trtsel: fixed a bug building plots for subcohort designs with discrete markers
* fixed various small things so that the package now has no warnings from R CMD Check
* added manual files for tsdata_scc and tsdata_cc
* calibrate.trtsel: fixed bug when calibrating models fit using stratified case-control data.
TreatmentSelection 2.0.3
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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.
- Addition of 'trtsel_measures': a simple function for evaluating the performance of a user-specified marker-based treatment rule.
- Input formulas into trtsel objects instead of univariate marker information. This allows for the evaluation of multivariate models.
- The package now allows for survival outcomes.
- 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.
TreatmentSelection 2.0.4
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- adjusted estimate of event rate under marker-based trt.
TreatmentSelection 2.1.0
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Two key additions:
- allow continuous and time-to-event outcomes
- allow a user to evaluate models with more than one marker
One minor additions:
- updated the estimator of event rate under marker based treatment.
TreatmentSelection 2.1.1
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- Update trtsel man files specifying that larger values of a continuous outcome should be associated with worse outcomes.