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  "Title": "A More Flexible BART Model",
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  "Date": "2026-02-09",
  "Authors@R": "c(\nperson(given = \"Sameer K.\", family = \"Deshpande\", role = c(\"aut\", \"cre\"), email = \"sameer.deshpande@wisc.edu\", comment = c(ORCID = \"0000-0003-4116-5533\")),\nperson(given = \"George\", family = \"Perrett\", role = c(\"aut\"), email = \"gp77@nyu.edu\", comment = c(ORCID = \"0000-0002-1930-2581\")),\nperson(given = \"Ryan\", family = \"Yee\", role = c(\"aut\"), email = \"ryee2@wisc.edu\", comment = c(ORCID = \"0009-0005-5691-4009\")),\nperson(given = \"Cecilia\", family = \"Balocchi\", role = c(\"aut\"), email = \"cecilia.balocchi@ed.ac.uk\", comment = c(ORCID = \"0000-0002-1234-6063\")),\nperson(given = \"Jennifer\", family = \"Hill\", role = c(\"aut\"), email = \"jennifer.hill@nyu.edu\", comment = c(ORCID = \"0000-0003-4983-2206\")))",
  "Description": "Implements a faster and more expressive version of\nBayesian Additive Regression Trees that, at a high level,\napproximates unknown functions as a weighted sum of binary\nregression tree ensembles. Supports fitting (generalized)\nlinear varying coefficient models that posits a linear\nrelationship between the inverse link and some covariates but\nallows that relationship to change as a function of other\ncovariates. Additionally supports fitting heteroscedastic BART\nmodels, in which both the mean and log-variance are\napproximated with separate regression tree ensembles. A formula\ninterface allows for different splitting variables to be used\nin each ensemble. For more details see Deshpande (2025)\n<doi:10.1080/10618600.2024.2431072> and Deshpande et al. (2024)\n<doi:10.1214/24-BA1470>.",
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