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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 (2021) <doi:10.18637/jss.v100.i04>.
Version: | 1.2-4 |
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: | 2024-04-29 |
DOI: | 10.32614/CRAN.package.bamlss |
Author: | Nikolaus Umlauf |
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 |
Reference manual: | bamlss.pdf |
Vignettes: |
First Steps |
Package source: | bamlss_1.2-4.tar.gz |
Windows binaries: | r-devel: bamlss_1.2-4.zip, r-release: bamlss_1.2-4.zip, r-oldrel: bamlss_1.2-4.zip |
macOS binaries: | r-release (arm64): bamlss_1.2-4.tgz, r-oldrel (arm64): bamlss_1.2-4.tgz, r-release (x86_64): bamlss_1.2-4.tgz, r-oldrel (x86_64): bamlss_1.2-4.tgz |
Old sources: | bamlss archive |
Reverse depends: | gmfamm, MJMbamlss |
Reverse imports: | distreg.vis, mevr, spiky |
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.