R: Evaluate Treatment Selection Biomarkers

# Evaluate Treatment Selection Biomarkers

## Documentation for package ‘TreatmentSelection’ version 2.1.1

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

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