# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "sparseVCBART" in publications use:' type: software license: GPL-3.0-or-later title: 'sparseVCBART: Sparse Varying Coefficient BART with Global-Local Priors"' version: 1.0.0 abstract: 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+) . authors: - family-names: Ghosh given-names: Soham email: sghosh39@wisc.edu - family-names: Deshpande given-names: Sameer K. email: sameer.deshpande@wisc.edu orcid: https://orcid.org/0000-0003-4116-5533 repository: https://cran.r-universe.dev repository-code: https://github.com/ghoshstats/sparseVCBART commit: 7b13f1bb4cf5d4a766dd0bf5d515584c9675faac url: https://github.com/ghoshstats/sparseVCBART date-released: '2026-05-13' contact: - family-names: Deshpande given-names: Sameer K. email: sameer.deshpande@wisc.edu orcid: https://orcid.org/0000-0003-4116-5533