Package: sparseVCBART
Type: Package
Title: Sparse Varying Coefficient BART with Global-Local Priors"
Version: 1.0.0
Date: 2026-05-13
Authors@R: c(
  person(given = "Soham", family = "Ghosh", role = c("aut"), email = "sghosh39@wisc.edu"),
  person(given = "Sameer K.", family = "Deshpande", role = c("cre","aut"), email = "sameer.deshpande@wisc.edu", comment = c(ORCID = "0000-0003-4116-5533")))
Description: Fits sparse linear varying coefficient models (VCMs), 
    which assert a linear relationship between an outcome and several covariates 
    that is allowed to change as functions of additional variables known as effect modifiers. 
    Designed for high-dimensional settings where the number of covariates (i.e., number of slopes) 
    is comparable to or larger than the number of observations. 
    Approximates the coefficient functions using a version of Bayesian Additive Regression Trees 
    that can perform global-local shrinkage. 
    For more details see Ghosh, Bhogale, and Deshpande (2026+) <doi:10.48550/arXiv.2510.08204>.
URL: https://github.com/ghoshstats/sparseVCBART
License: GPL (>= 3)
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp, MASS
NeedsCompilation: yes
Packaged: 2026-05-13 15:39:34 UTC; sameer
Author: Soham Ghosh [aut],
  Sameer K. Deshpande [cre, aut] (ORCID:
    <https://orcid.org/0000-0003-4116-5533>)
Maintainer: Sameer K. Deshpande <sameer.deshpande@wisc.edu>
Repository: CRAN
Date/Publication: 2026-05-19 07:30:02 UTC
Built: R 4.6.0; aarch64-apple-darwin23; 2026-05-19 11:15:20 UTC; unix
Archs: sparseVCBART.so.dSYM
