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bamlss  

Bayesian Additive Models for Location, Scale, and Shape (and Beyond)
View on CRAN: Click here


Download and install bamlss package within the R console
Install from CRAN:
install.packages("bamlss")

Install from Github:
library("remotes")
install_github("cran/bamlss")

Install by package version:
library("remotes")
install_version("bamlss", "1.2-5")



Attach the package and use:
library("bamlss")
Maintained by
Nikolaus Umlauf
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-02-22
Latest Update: 2024-10-11
Description:
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) and the R package in Umlauf, Klein, Simon, Zeileis (2021) .
How to cite:
Nikolaus Umlauf (2017). bamlss: Bayesian Additive Models for Location, Scale, and Shape (and Beyond). R package version 1.2-5, https://cran.r-project.org/web/packages/bamlss. Accessed 28 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:20), 0.1-1 (2017-02-22 08:48), 0.1-2 (2017-04-14 16:05), 1.0-0 (2018-04-13 12:23), 1.0-1 (2018-10-12 10:40), 1.0-2 (2019-07-30 23:30), 1.1-0 (2019-09-27 11:10), 1.1-1 (2019-11-13 17:10), 1.1-2 (2020-02-19 23:20), 1.1-3 (2021-01-25 16:20), 1.1-4 (2021-05-15 09:00), 1.1-5 (2021-09-21 07:20), 1.1-6 (2021-11-24 14:20), 1.1-7 (2022-04-08 09:02), 1.1-8 (2022-06-10 08:50), 1.1-9 (2022-11-09 10:50), 1.2-0 (2023-06-13 10:30), 1.2-1 (2023-07-04 09:30), 1.2-2 (2023-10-29 16:50), 1.2-3 (2024-03-18 11:00), 1.2-4 (2024-04-29 15:40)
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