R: Implements the SoftBart Algorithm

# Implements the SoftBart Algorithm

## Documentation for package ‘SoftBart’ version 1.0.3

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

contr.ltfr | Create a Full Set of Dummy Variables
gsoftbart_regression | General SoftBart Regression
Hypers | Create a list of hyperparameter values
MakeForest | Create an Rcpp_Forest Object
Opts | MCMC options for SoftBart
partial_dependence_probit | Partial Dependence Function for SoftBART Probit Regression
partial_dependence_regression | Partial Dependence Function for SoftBART Regression
pdsoftbart | Partial dependence plots for SoftBart
posterior_probs | BART Posterior Inclusion Probabilities
predict.softbart_probit | Predict for SoftBart Probit Regression
predict.softbart_regression | Predict for SoftBart Regression
preprocess_df | Preprocess a dataset for use with SoftBart
quantile_normalize_bart | Quantile normalization for predictors
rmse | Root mean squared error
softbart | Fits the SoftBart model
softbart_probit | SoftBart Probit Regression
softbart_regression | SoftBart Regression
vc_softbart_regression | SoftBart Varying Coefficient Regression