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 |