| BATTS-package | Boosting and Bayesian Additive Trees for Two-Sample Comparison |
| bart_control | Settings for Bayesian additive tree fits |
| BATTS | Boosting and Bayesian Additive Trees for Two-Sample Comparison |
| batts-methods | Methods for BATTS fits |
| batts-plot | Plot a BATTS fit |
| batts-predict | Predict balancing weights and density ratios |
| batts_bart | Fit a two-sample density ratio by Bayesian additive trees |
| batts_boost | Fit a two-sample density ratio by boosting |
| boost_control | Settings for boosting fits |
| density_ratio | Density ratio of a fitted BATTS model |
| density_ratio.batts_fit | Density ratio of a fitted BATTS model |
| fitted.batts_bart | Predict balancing weights and density ratios |
| fitted.batts_boost | Predict balancing weights and density ratios |
| nobs.batts_fit | Methods for BATTS fits |
| plot.batts_bart | Plot a BATTS fit |
| plot.batts_boost | Plot a BATTS fit |
| predict.batts_bart | Predict balancing weights and density ratios |
| predict.batts_boost | Predict balancing weights and density ratios |
| print.batts_bart | Methods for BATTS fits |
| print.batts_boost | Methods for BATTS fits |
| print.summary.batts_fit | Methods for BATTS fits |
| summary.batts_fit | Methods for BATTS fits |