using survtmle package
initial_sl_fit(T_tilde, Delta, A, W, t_max, sl_failure = c("SL.glm"), sl_censoring = c("SL.glm"), sl_treatment = c("SL.glm"), gtol = 0.001)
T_tilde | vector of last follow up time |
---|---|
Delta | vector of censoring indicator |
A | vector of treatment |
W | data.frame of baseline covariates |
t_max | the maximum time to estimate the survival probabilities |
sl_failure | SuperLearner library for failure event hazard |
sl_censoring | SuperLearner library for censoring event hazard |
sl_treatment | SuperLearner library for propensity score |
gtol | treshold for the fitted propensity scores |