| as.weightit | Create a 'weightit' object manually |
| as.weightit.default | Create a 'weightit' object manually |
| as.weightitMSM | Create a 'weightit' object manually |
| as.weightitMSM.default | Create a 'weightit' object manually |
| boxplot.ps.cont | Generalized Propensity Score Estimation using GBM |
| ESS | Compute effective sample size of weighted sample |
| get_w_from_ps | Compute weights from propensity scores |
| 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_ebcw | Empirical Balancing Calibration Weighting |
| method_energy | Energy Balancing |
| 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 |
| plot.summary.weightit | Print and Summarize Output |
| print.summary.weightit | Print and Summarize Output |
| print.summary.weightit.sbps | Subgroup Balancing Propensity Score |
| print.summary.weightitMSM | Print and Summarize Output |
| print.weightit | Generate Balancing Weights |
| print.weightit.sbps | Subgroup Balancing Propensity Score |
| print.weightitMSM | Generate Balancing Weights for Longitudinal Treatments |
| ps.cont | Generalized Propensity Score Estimation using GBM |
| SBPS | Subgroup Balancing Propensity Score |
| sbps | Subgroup Balancing Propensity Score |
| stop.method | Balance criteria for tuning |
| summary.ps.cont | Generalized Propensity Score Estimation using GBM |
| summary.weightit | Print and Summarize Output |
| summary.weightit.sbps | Subgroup Balancing Propensity Score |
| 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 |
| weightit.fit | Generate Balancing Weights with Minimal Input Processing |
| weightitMSM | Generate Balancing Weights for Longitudinal Treatments |