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bamlss
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]
[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 25 Jun. 2026.
Previous versions and publish date:
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)
Other packages that cited bamlss R package
View bamlss citation profile
Other R packages that bamlss depends,
imports, suggests or enhances
Complete documentation for bamlss
Functions, R codes and Examples using
the bamlss R package
Some associated functions: AR1_transform . Austria . BayesX . CRPS . Crazy . DIC . GAMart . GEFCom2014 . GMCMC . Golf . JAGS . LondonFire . MVNORM . Surv2 . Volcano . WAIC . bamlss-package . bamlss.engine.helpers . bamlss.engine.setup . bamlss.formula . bamlss.frame . bamlss . bbfit . bboost . bfit . boost . c95 . coef.bamlss . colorlegend . continue . cox.mcmc . cox.mode . cox.predict . ddnn . dl.bamlss . engines . family.bamlss . fatalities . fitted.bamlss . gF . gamlss_distributions . homstart_data . isgd . jm_bamlss . kr . lasso . lin . model.frame.bamlss . model.matrix.bamlss.frame . n . neighbormatrix . parameters . pathplot . plot.bamlss . plot2d . plot3d . plotblock . plotmap . predict.bamlss . randomize . rb . residuals.bamlss . response_name . results.bamlss.default . rmf . s2 . samples . samplestats . scale2 . shortcuts . simJM . simSurv . sliceplot . smooth.construct.ms.smooth.spec . smooth.construct . smooth_check . sr . stabsel . summary.bamlss . surv.transform . terms.bamlss . topmodels .
Some associated R codes: BAMLSS.R . BayesX.R . GAMart.R . JAGS.R . JM.R . bnd.R . data.R . families.R . homstart.R . imports.R . maps.R . optimizers.R . samplers.R . sigmoid.R . stabsel.R . survival.R . topmodels.R . vis.R . Full bamlss package functions and examples
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