Package: VCBART
Type: Package
Title: Fit Varying Coefficient Models with Bayesian Additive Regression
        Trees
Version: 1.2.4
Date: 2025-12-03
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. (2024) <doi:10.1214/24-BA1470>.
License: GPL (>= 3)
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp, MASS
URL: https://github.com/skdeshpande91/VCBART
NeedsCompilation: yes
Packaged: 2025-12-03 14:19:58 UTC; sameer
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>
Repository: CRAN
Date/Publication: 2025-12-09 16:00:02 UTC
Built: R 4.5.1; x86_64-apple-darwin20; 2025-12-09 17:49:30 UTC; unix
Archs: VCBART.so.dSYM
