car_pb |
Generate permuted block treatment assignments |
car_ps |
Generate Pocock-Simon minimization treatment assignments |
car_sr |
Generate simple randomization treatment assignments |
data_gen |
Data generation function from JRSS-B paper |
data_gen2 |
Data generation function from covariate adjusted log-rank paper |
print.CalibrationResult |
Print calibration result |
print.ContrastResult |
Print contrast result |
print.GLMModelResult |
Print glm model result |
print.LinModelResult |
Print linear model result |
print.TTEResult |
Print TTE result |
robincar_calibrate |
Perform linear or joint calibration |
robincar_contrast |
Estimate a treatment contrast |
robincar_covhr |
Covariate-adjusted estimators for time to event data |
robincar_coxscore |
Robust cox score adjustment |
robincar_glm |
Covariate adjustment using generalized linear working model |
robincar_linear |
Covariate adjustment using linear working model |
robincar_logrank |
Robust (potentially stratified) logrank adjustment |
robincar_SL |
BETA: Covariate adjustment using working models from the super learner libraries through the AIPW package with cross-fitting. |
robincar_SL_median |
BETA: Covariate adjustment using working models from the super learner libraries through the AIPW package with cross-fitting, with median adjustment. |
robincar_tte |
Covariate adjustment for time to event data |