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: 2026-11-02 13:12:07 UTC; root
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: https://cran.r-universe.dev
Date/Publication: 2026-05-19 08:42:26 UTC
RemoteUrl: https://github.com/cran/sparseVCBART
RemoteRef: HEAD
RemoteSha: 7b13f1bb4cf5d4a766dd0bf5d515584c9675faac