Boosting and Bayesian Additive Trees for Two-Sample Comparison


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Documentation for package ‘BATTS’ version 0.4.0

Help Pages

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