TreatmentSelection-package |
Evaluate markers used to guide patient treatment selection decisions |
calibrate |
method for calibrating trtsel objects |
calibrate.trtsel |
assess model calibration of a trtsel object |
compare |
method to compare trtsel objects |
compare.trtsel |
compare the performance of two treatment selection markers |
evaluate |
a method for evaluating a trtsel object |
evaluate.trtsel |
evaluate the performance of one or more biomarkers for their ability to guide patient treatment recommendations. |
is.trtsel |
is x a trtsel object? |
plot |
plot risk curves, treatment effect curves or cdf of risk for a trtsel object. |
plot.trtsel |
plot risk curves, treatment effect curves or cdf of risk for a trtsel object. |
print.calibrate.trtsel |
print a trtsel object |
print.compare.trtsel |
print a trtsel object |
print.eval.trtsel |
print a trtsel object |
print.trtsel |
print a trtsel object |
print.trtsel_summary_measures |
print output from 'trtsel_measures' |
surv_tsdata |
sample data for R package TreatmentSelection |
TreatmentSelection |
Evaluate markers used to guide patient treatment selection decisions |
trtsel |
create a trtsel object |
trtsel_measures |
a simple function to estimate performance measures for a rule used to select treatment. |
tsdata |
sample data for R package TreatmentSelection |
tsdata_cc |
sample nested case-control data for R package TreatmentSelection |
tsdata_scc |
sample stratified nested case-control data for R package TreatmentSelection |