bamlss: Bayesian Additive Models for Location Scale and Shape (and Beyond)
Version 0.1-3

Infrastructure for estimating probabilistic distributional regression models in a Bayesian framework. The distribution parameters may capture location, scale, shape, etc. and every parameter may depend on complex additive terms (fixed, random, smooth, spatial, etc.) similar to a generalized additive model. The conceptual and computational framework is introduced in Umlauf, Klein, Zeileis (2017) .

Package details

AuthorNikolaus Umlauf [aut, cre], Nadja Klein [aut], Achim Zeileis [aut], Meike Koehler [aut]
Date of publication2017-05-26 10:06:12
MaintainerNikolaus Umlauf <[email protected]>
LicenseGPL-2 | GPL-3
Package repositoryView on R-Forge
Installation Install the latest version of this package by entering the following in R:
install.packages("bamlss", repos="")

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bamlss documentation built on May 31, 2017, 3:41 a.m.