Weighting for Covariate Balance in Observational Studies

---

Documentation for package ‘WeightIt’ version 1.2.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

as.weightit	Create a 'weightit' object manually
as.weightit.default	Create a 'weightit' object manually
as.weightit.weightit.fit	Create a 'weightit' object manually
as.weightitMSM	Create a 'weightit' object manually
as.weightitMSM.default	Create a 'weightit' object manually
calibrate	Calibrate Propensity Score Weights
calibrate.default	Calibrate Propensity Score Weights
calibrate.weightit	Calibrate Propensity Score Weights
confint.glm_weightit	Methods for 'glm_weightit()' objects
coxph_weightit	Fitting Weighted Generalized Linear Models
ESS	Compute effective sample size of weighted sample
get_w_from_ps	Compute weights from propensity scores
glm_weightit	Fitting Weighted Generalized Linear Models
glm_weightit-methods	Methods for 'glm_weightit()' objects
lm_weightit	Fitting Weighted Generalized Linear Models
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	Optimization-Based Weighting
method_sbw	Optimization-Based Weighting
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
multinom_weightit	Fitting Weighted Generalized Linear Models
ordinal_weightit	Fitting Weighted Generalized Linear Models
plot.summary.weightit	Print and Summarize Output
plot.summary.weightitMSM	Print and Summarize Output
plot.weightit	Plot information about the weight estimation process
predict.glm_weightit	Predictions for 'glm_weightit' objects
predict.multinom_weightit	Predictions for 'glm_weightit' objects
predict.ordinal_weightit	Predictions for 'glm_weightit' objects
print.glm_weightit	Methods for 'glm_weightit()' objects
sbps	Subgroup Balancing Propensity Score
summary.glm_weightit	Methods for 'glm_weightit()' objects
summary.weightit	Print and Summarize Output
summary.weightitMSM	Print and Summarize Output
trim	Trim (Winsorize) Large Weights
trim.default	Trim (Winsorize) Large Weights
trim.weightit	Trim (Winsorize) Large Weights
vcov.glm_weightit	Methods for 'glm_weightit()' objects
weightit	Estimate Balancing Weights
weightit.fit	Generate Balancing Weights with Minimal Input Processing
weightitMSM	Generate Balancing Weights for Longitudinal Treatments