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 |