R: Fit Varying Coefficient Models with Bayesian Additive Regression Trees

# Fit Varying Coefficient Models with Bayesian Additive Regression Trees

## Documentation for package ‘VCBART’ version 1.2.5

- DESCRIPTION file.

## Help Pages

predict_betas | Compute posterior predictive evaluates of covariate effect functions.
summarize_beta | Compute posterior mean and 95% credible interval for evaluations of each coefficient function.
VCBART_cs | Fit a VCBART model with compound symmetry error structure
VCBART_ind | Fit a VCBART model with independent error structure