Package index • WeightIt

Estimate weights

weightit(): Estimate Balancing Weights
weightitMSM(): Generate Balancing Weights for Longitudinal Treatments
summary(<weightit>) plot(<summary.weightit>) summary(<weightitMSM>) plot(<summary.weightitMSM>): Print and Summarize Output

method_bart: Propensity Score Weighting Using BART
method_cbps: Covariate Balancing Propensity Score Weighting
method_cfd: Characteristic Function Distance Balancing
method_ebal method_entropy: Entropy Balancing
method_energy: Energy Balancing
method_gbm: Propensity Score Weighting Using Generalized Boosted Models
method_glm: Propensity Score Weighting Using Generalized Linear Models
method_ipt: Inverse Probability Tilting
method_npcbps: Nonparametric Covariate Balancing Propensity Score Weighting
method_optweight method_sbw: Stable Balancing Weights
method_super: Propensity Score Weighting Using SuperLearner
method_user: User-Defined Functions for Estimating Weights

anova(<glm_weightit>): Methods for glm_weightit() objects
coxph_weightit(): Fitting (Weighted) Cox Proportional Hazards Models
summary(<glm_weightit>) summary(<multinom_weightit>) summary(<ordinal_weightit>) summary(<coxph_weightit>) print(<glm_weightit>) vcov(<glm_weightit>) estfun(<glm_weightit>) update(<glm_weightit>): Methods for glm_weightit() objects
glm_weightit() lm_weightit(): Fitting (Weighted) Generalized Linear Models
multinom_weightit(): Fitting (Weighted) Multinomial Regression Models
ordinal_weightit(): Fitting (Weighted) Ordinal Regression Models
predict(<glm_weightit>) predict(<multinom_weightit>) predict(<ordinal_weightit>): Predictions for glm_weightit objects