.weightit_methods       Weighting methods
ESS                     Compute effective sample size of weighted
                        sample
anova.glm_weightit      Methods for 'glm_weightit()' objects
as.weightit             Create a 'weightit' object manually
calibrate               Calibrate Propensity Score Weights
get_w_from_ps           Compute weights from propensity scores
glm_weightit            Fitting Weighted Generalized Linear Models
glm_weightit-methods    Methods for 'glm_weightit()' objects
make_full_rank          Make a design matrix full rank
method_bart             Propensity Score Weighting Using BART
method_cbps             Covariate Balancing Propensity Score Weighting
method_ebal             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        Stable Balancing Weights
method_super            Propensity Score Weighting Using SuperLearner
method_user             User-Defined Functions for Estimating Weights
msmdata                 Simulated data for a 3 time point sequential
                        study
plot.weightit           Plot information about the weight estimation
                        process
predict.glm_weightit    Predictions for 'glm_weightit' objects
sbps                    Subgroup Balancing Propensity Score
summary.weightit        Print and Summarize Output
trim                    Trim (Winsorize) Large Weights
weightit                Estimate Balancing Weights
weightit.fit            Generate Balancing Weights with Minimal Input
                        Processing
weightitMSM             Generate Balancing Weights for Longitudinal
                        Treatments
