Bayesian Additive Models for Location, Scale, and Shape (and Beyond) R package bamlss version 1.2-5 CRAN Task View: Bayesian (https://CRAN.R-project.org/view=Bayesian) CRAN Task View: MixedModels (https://CRAN.R-project.org/view=MixedModels) 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>. Software 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 Nikolaus Umlauf <Nikolaus.Umlauf@uibk.ac.at> Comprehensive R Archive Network (CRAN) Nikolaus Umlauf [aut, cre] (ORCID: <https://orcid.org/0000-0003-2160-9803>), Nadja Klein [aut] (ORCID: <https://orcid.org/0000-0002-5072-5347>), Achim Zeileis [aut] (ORCID: <https://orcid.org/0000-0003-0918-3766>), Meike Koehler [ctb], Thorsten Simon [aut] (ORCID: <https://orcid.org/0000-0002-3778-7738>), Stanislaus Stadlmann [ctb], Alexander Volkmann [ctb] (ORCID: <https://orcid.org/0000-0001-5028-8098>) GPL-2 GPL-3 2024-10-11 application/tgz https://CRAN.R-project.org/package=bamlss doi:10.32614/CRAN.package.bamlss