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bamlss (version 1.1-2)

Bayesian Additive Models for Location, Scale, and Shape (and Beyond)

Description

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 (2019) and the R package in Umlauf, Klein, Simon, Zeileis (2019) .

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Install

install.packages('bamlss')

Monthly Downloads

549

Version

1.1-2

License

GPL-2 | GPL-3

Maintainer

Last Published

February 19th, 2020

Functions in bamlss (1.1-2)