VCBART

cranv1.2.5

Fit 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

License GPL (>= 3)0 versions1 maintainers2 deps99 weekly dl
skdeshpande91/VCBART
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RcppMASS
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First published · 2026-04-21 06:23:35

Last updated · 2026-04-21T04:20:09+00:00