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.MHResult          Print MH result
print.TTEResult         Print TTE result
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_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_mh             Estimate Mantel-Haenszel Risk Difference
robincar_tte            Covariate adjustment for time to event data
