Man pages for RobinCar
Robust Estimation and Inference in Covariate-Adaptive Randomization
| 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... |
| pipe | Pipe operator |
| 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... |
| robincar_SL_median | BETA: Covariate adjustment using working models from the... |
| robincar_tte | Covariate adjustment for time to event data |
