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conda-forge/r-bamlss

r-bamlss

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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) <doi:10.1080/10618600.2017.1407325> and the R package in Umlauf, Klein, Simon, Zeileis (2019) <arXiv:1909.11784>.

Copied fromcf-post-staging / r-bamlss

Installation

To install this package, run one of the following:

Conda
$conda install conda-forge::r-bamlss

Usage Tracking

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About

Summary

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) <doi:10.1080/10618600.2017.1407325> and the R package in Umlauf, Klein, Simon, Zeileis (2019) <arXiv:1909.11784>.

Last Updated

Jun 14, 2023 at 15:58

License

GPL-2.0-or-later

Total Downloads

75.6K

Supported Platforms

linux-64
macOS-64
win-64

Home

http://www.bamlss.org/