BMSC (0.2.1)

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Bayesian Model Selection under Constraints.

A Bayesian regression package supporting constrained coefficient estimation and variable selection using Stan. This includes a robust variable selection algorithm by a horseshoe prior () that finds the optimal model considering main effects, interactions as well as powers of given variables under potential parameter constraints.

Maintainer: Marcus Gro
Author(s): Marcus Gro [aut, cre], Ricardo Fernandes [aut], Mira Celine Klein [ctb]

License: GPL-3

Uses: dplyr, ggplot2, loo, R.utils, Rcpp, rstan, rstantools, testthat, lintr

Released 4 months ago.

3 previous versions



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