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

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 (2021) <doi:10.18637/jss.v100.i04>.

Version: 1.2-5
Depends: R (≥ 3.5.0), coda, colorspace, distributions3 (≥ 0.2.1), mgcv
Imports: Formula, MBA, mvtnorm, sp, Matrix, survival, methods, parallel
Suggests: bit, ff, fields, gamlss, gamlss.dist, interp, rjags, BayesX, mapdata, maps, sf, nnet, spatstat, spdep, zoo, keras, splines2, sdPrior, statmod, glogis, glmnet, scoringRules, knitr, rmarkdown, MASS, tensorflow
Published: 2024-10-11
DOI: 10.32614/CRAN.package.bamlss
Author: Nikolaus Umlauf ORCID iD [aut, cre], Nadja Klein ORCID iD [aut], Achim Zeileis ORCID iD [aut], Meike Koehler [ctb], Thorsten Simon ORCID iD [aut], Stanislaus Stadlmann [ctb], Alexander Volkmann ORCID iD [ctb]
Maintainer: Nikolaus Umlauf <Nikolaus.Umlauf at uibk.ac.at>
License: GPL-2 | GPL-3
URL: http://www.bamlss.org/
NeedsCompilation: yes
Citation: bamlss citation info
Materials: NEWS
In views: Bayesian, MixedModels
CRAN checks: bamlss results

Documentation:

Reference manual: bamlss.pdf
Vignettes: First Steps (source, R code)

Downloads:

Package source: bamlss_1.2-5.tar.gz
Windows binaries: r-devel: bamlss_1.2-5.zip, r-release: bamlss_1.2-5.zip, r-oldrel: bamlss_1.2-5.zip
macOS binaries: r-release (arm64): bamlss_1.2-5.tgz, r-oldrel (arm64): bamlss_1.2-5.tgz, r-release (x86_64): bamlss_1.2-5.tgz, r-oldrel (x86_64): bamlss_1.2-5.tgz
Old sources: bamlss archive

Reverse dependencies:

Reverse depends: gmfamm, MJMbamlss
Reverse imports: distreg.vis, mevr, spiky

Linking:

Please use the canonical form https://CRAN.R-project.org/package=bamlss to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.