Man pages for SoftBart
Implements the SoftBart Algorithm
| 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 |
