Package: VCBART
Type: Package
Title: Fit Varying Coefficient Models with Bayesian Additive Regression
        Trees
Version: 1.2.5
Date: 2026-04-17
Authors@R: c(
  person(given = "Sameer K.", family = "Deshpande", role = c("aut", "cre"), email = "sameer.deshpande@wisc.edu", comment = c(ORCID = "0000-0003-4116-5533")),
  person(given = "Ray", family = "Bai", role = c("aut"), comment = c(ORCID = "0000-0002-7190-7844")),
  person(given = "Cecilia", family = "Balocchi", role = c("aut"), comment = c(ORCID = "0000-0002-1234-6063")),
  person(given = "Jennifer", family = "Starling", role = c("aut")),
  person(given = "Jordan", family = "Weiss", role = c("aut")))
Description: Fits linear varying coefficient (VC) models, which assert
        a linear relationship between an outcome and several covariates
        but allow that relationship (i.e., the coefficients or slopes
        in the linear regression) to change as functions of additional
        variables known as effect modifiers, by approximating the
        coefficient functions with Bayesian Additive Regression Trees.
        Implements a Metropolis-within-Gibbs sampler to simulate draws
        from the posterior over coefficient function evaluations. VC
        models with independent observations or repeated observations
        can be fit. For more details see Deshpande et al. (2026)
        <doi:10.1214/24-BA1470>.
License: GPL (>= 3)
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp, MASS
URL: https://github.com/skdeshpande91/VCBART
Repository: https://skdeshpande91.r-universe.dev
Date/Publication: 2026-05-12 01:39:21 UTC
RemoteUrl: https://github.com/skdeshpande91/vcbart
RemoteRef: HEAD
RemoteSha: 7a5014e07ce95bd59ef68e7d7382fdcd3d096009
NeedsCompilation: yes
Packaged: 2026-10-12 10:00:29 UTC; root
Author: Sameer K. Deshpande [aut, cre] (ORCID:
    <https://orcid.org/0000-0003-4116-5533>),
  Ray Bai [aut] (ORCID: <https://orcid.org/0000-0002-7190-7844>),
  Cecilia Balocchi [aut] (ORCID: <https://orcid.org/0000-0002-1234-6063>),
  Jennifer Starling [aut],
  Jordan Weiss [aut]
Maintainer: Sameer K. Deshpande <sameer.deshpande@wisc.edu>