| boxplot.ps.cont | Generalized Propensity Score Estimation using GBM |
| gbm.cont | Generalized Propensity Score Estimation using GBM |
| make.full.rank | Make a matrix full rank |
| method_cbps | Covariate Balancing Propensity Score Weighting |
| method_ebal | Entropy Balancing |
| method_ebcw | Empirical Balancing Calibration Weighting |
| method_gbm | Propensity Score Weighting Using Generalized Boosted Models |
| method_npcbps | Nonparametric Covariate Balancing Propensity Score Weighting |
| method_optweight | Optimization-Based Weighting |
| method_ps | Propensity Score Weighting Using Generalized Linear Models |
| method_super | Propensity Score Weighting Using SuperLearner |
| method_user | User-Defined Functions for Estimating Weights |
| plot.ps.cont | Generalized Propensity Score Estimation using GBM |
| print.summary.weightit | Print and Summarize Output |
| print.summary.weightitMSM | Print and Summarize Output |
| print.weightit | Generate Balancing Weights |
| print.weightitMSM | Generate Balancing Weights |
| ps.cont | Generalized Propensity Score Estimation using GBM |
| summary.ps.cont | Generalized Propensity Score Estimation using GBM |
| summary.weightit | Print and Summarize Output |
| summary.weightitMSM | Print and Summarize Output |
| trim | Trim Large Weights |
| trim.numeric | Trim Large Weights |
| trim.weightit | Trim Large Weights |
| WeightIt | Generate Balancing Weights |
| weightit | Generate Balancing Weights |
| weightitMSM | Generate Balancing Weights |