bamlss (1.0-1)

0 users

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 (2017) .

Maintainer: Nikolaus Umlauf
Author(s): Nikolaus Umlauf [aut, cre], Nadja Klein [aut], Achim Zeileis [aut] (<>), 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



  (0 votes)


  (0 votes)

Log in to vote.


No one has written a review of bamlss yet. Want to be the first? Write one now.

Related packages: BACCO, BMA, BayHaz, BayesTree, BayesValidate, Bolstad, DPpackage, EbayesThresh, HI, Hmisc, LearnBayes, MCMCpack, MNP, MasterBayes, R2WinBUGS, RJaCGH, Runuran, arm, bayesSurv, bayesm(20 best matches, based on common tags.)

Search for bamlss on google, google scholar, r-help, r-devel.

Visit bamlss on R Graphical Manual.