bamlss (1.0-1)

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

http://cran.r-project.org/web/packages/bamlss

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 (2017) .

Maintainer: Nikolaus Umlauf
Author(s): Nikolaus Umlauf [aut, cre], Nadja Klein [aut], Achim Zeileis [aut] (<https://orcid.org/0000-0003-0918-3766>), Meike Koehler [aut], Thorsten Simon [ctb], Stanislaus Stadlmann [ctb]

License: GPL-2 | GPL-3

Uses: coda, colorspace, Formula, Matrix, MBA, mgcv, mvtnorm, sp, survival, akima, fields, gamlss, geoR, mapdata, maps, maptools, spatstat, spdep, zoo, glmnet, rjags, BayesX, bit, raster, glogis, BayesXsrc, sdPrior, scoringRules, splines2, keras

Released 8 months ago.


3 previous versions

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