Package index • propensity

All functions

augment(<ipw>): Augment an inverse probability weighted result with per-observation columns
glance(<ipw>): Glance at an inverse probability weighted result
glance(<ipw_pooled>): Glance at a pooled inverse probability weighted result
ipw(<joint_wt_models>) ipw(<multinom>) ipw(<lm>) ipw(<glm>): Inverse Probability Weighted Estimation
is_ps_calibrated(): Check if propensity scores are calibrated
is_ps_trimmed(): Test whether propensity scores have been trimmed
is_ps_truncated(): Test whether propensity scores have been truncated
is_refit(): Check if propensity scores have been refit
is_unit_trimmed(): Identify which units were trimmed
is_unit_truncated(): Identify which units were truncated
joint_wt_models() is_joint_wt_models(): Record the two treatment models of a joint exposure
propensity propensity-package: propensity: A Toolkit for Calculating and Working with Propensity Scores
ps_calibrate(): Calibrate propensity scores
ps_refit(): Refit a Propensity Score Model on Retained Observations
ps_tilt(): Propensity score tilting functions
ps_trim(): Trim Propensity Scores
ps_trim_meta(): Extract trimming metadata from a ps_trim object
ps_trunc(): Truncate (Winsorize) Propensity Scores
ps_trunc_meta(): Extract truncation metadata from a ps_trunc object
new_psw() psw() is_psw() is_stabilized() stabilization_score() as_psw(): Propensity Score Weight Vectors
tidy(<ipw>): Tidy an inverse probability weighted result
tidy(<ipw_pooled>): Tidy a pooled inverse probability weighted result
wt_ate() wt_att() wt_atu() wt_atm() wt_ato() wt_entropy() wt_atc() wt_cens(): Calculate propensity score weights
wt_joint() is_joint_wt() joint_wt_meta(): Product weights for a joint intervention on two treatments