VCBART
cranv1.2.5Fit Varying Coefficient Models with Bayesian Additive Regression Trees. 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
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curl https://depscope.dev/api/check/cran/VCBARTFirst published · 2026-04-21 06:23:35
Last updated · 2026-04-21T04:20:09+00:00