Package index • propensity

All functions

ipw() as.data.frame(<ipw>): Inverse Probability Weights for Causal Inference

is_ps_calibrated(): Check if object is calibrated

is_ps_trimmed(): Check if object is trimmed

is_ps_truncated(): Check if object is truncated

is_refit(): Check if an object has been refit

is_unit_trimmed(): Check if units have been trimmed

is_unit_truncated(): Check if units have been truncated

ps_calibrate(): Calibrate propensity scores

ps_refit(): Refit the Propensity Score Model on Retained Observations

ps_trim(): Trim Propensity Scores

ps_trim_meta(): Extract ps_trim metadata

ps_trunc(): Truncate (Winsorize) Propensity Scores

ps_trunc_meta(): Extract ps_trunc metadata

new_psw() psw() is_psw() is_stabilized() is_causal_wt() as_psw() estimand() `estimand<-`(): Create and Manipulate psw Objects

wt_ate() wt_att() wt_atu() wt_atm() wt_ato() wt_entropy() wt_atc() wt_cens(): Calculate Propensity Score Weights for Causal Inference