Bayesian Additive Models for Location, Scale, and Shape (and Beyond)
Overview
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.
- Improved family parsing and code touch ups.
From NEWS.md in the release
Install
Health
- OK13 OK2026-09-08
- ERROR12 OK, 1 ERROR2026-09-07
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK12 OK2026-04-25
Show 1 earlier changeHide 1 earlier change
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 86includes a package overview page
- Examples that run
- 43%34 run in a plain check · 43 never run · 3 hold no code
- Exported functions with examples
- 93%
- Documented parameters
- 97%
- Return-value docs
- 71%
- Help pages citing references
- 26%
Downloads
Dependencies
Installing bamlss adds 9 packages (6 with compiled code, 26 MB of source tarballs). Heaviest: BH 14 MB, sp 4.3 MB, MBA 3.3 MB.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 1.2-5Latest
- 1.2-42024-04-29 · diff ↗
- RR 4.4.0 released · 2024-04-24
- 1.2-32024-03-18 · diff ↗ ·
added 5 exports
dist_mvnchol, make_formula, mvn_chol, mvn_modchol, mvnchol_bamlss - 1.2-22023-10-29 · diff ↗ ·
removed 2 exports
dl.bamlss, predict.dl.bamlssadded 4 exports
ZANBI_bamlss, ddnn, predict.ddnn, cv_ddnn - 1.2-1
- 1.2-02023-06-13 · diff ↗
- RR 4.3.0 released · 2023-04-21
- 1.1-9
- 1.1-82022-06-10 · diff ↗
- RR 4.2.0 released · 2022-04-22
- 1.1-7
- 1.1-62021-11-24 · diff ↗
- 1.1-5
Show 16 earlier eventsHide 16 earlier events
- RR 4.1.0 released · 2021-05-18
- 1.1-4
- 1.1-32021-01-25 · diff ↗ ·
added 19 exports
opt_bfit, opt_bbfit, opt_bbfitp, sam_GMCMC, sam_JAGS, sam_BayesX, sam_MVNORM, opt_Cox, sam_Cox, Sichel_bamlss, GEV_bamlss, opt_JM, sam_JM, opt_boost, opt_boostm, opt_lasso, engines, gamlss_distributions, CRPS - RR 4.0.0 released · 2020-04-24
- 1.1-2
- 1.1-1
- 1.1-02019-09-27 · diff ↗ ·
removed 16 exports
surv.transform, cox.mode, cox.mcmc, cox.predict, jm.mode, jm.mcmc, jm.survplot, jm.predict, boost.summary, boost.plot, boost.frame, lasso.plot, lasso.stop, lasso.coef, lasso.transform, bboost.plotadded 20 exports
surv_transform, cox_mode, cox_mcmc, cox_predict, jm_mode, jm_mcmc, jm_survplot, jm_predict, Crazy, boost_summary, boost_plot, boost_frame, lasso_plot, lasso_stop, lasso_coef, lasso_transform, bboost_plot, pathplot, response_name, smooth_check - 1.0-22019-07-30 · diff ↗ ·
added 11 exports
bbfit, ALD_bamlss, AR1_bamlss, beta1_bamlss, dw_bamlss, nbinom_bamlss, ztnbinom_bamlss, lognormal_bamlss, weibull_bamlss, WAIC, smooth.construct.ms.smooth.spec - RR 3.6.0 released · 2019-04-26
- 1.0-12018-10-12 · diff ↗ ·
removed 1 export
smooth.construct.nn.smooth.specadded 15 exports
tx4, predictn, make_weights, lin, smooth.construct.linear.smooth.spec, rb, smooth.construct.randombits.smooth.spec, smooth.construct.kr.smooth.spec, Predict.matrix.kriging.smooth, boost2, lasso2, bayesx2, bboost, predict.bboost, bboost.plot - RR 3.5.0 released · 2018-04-23
- 1.0-02018-04-13 · diff ↗ ·
removed 1 export
bfit_iwls_spamadded 10 exports
bfit_glmnet, glogis_bamlss, boostm, boost.frame, n, n.weights, dl.bamlss, predict.dl.bamlss, stabsel, smooth.construct.nn.smooth.spec - RR 3.4.0 released · 2017-04-21
- 0.1-22017-04-14 · diff ↗ ·
added 3 exports
tx3, smooth.construct.tensorX3.smooth.spec, Predict.matrix.tensorX3.smooth - 0.1-12017-02-22
- RR 3.3.0 released · 2016-05-03
Package metadata
- First published
- 2017-02-22
- Total releases
- 21 / 9 yrs
- License
- GPL-2 | GPL-3 OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 885 KB / 5 files
- Download size
- 1.5 MB
Cite
Cite this package
Run in R for the authors' entry:
citation("bamlss")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.18637/jss.v100.i04, 10.1080/10618600.2017.1407325, 10.1016/j.ecosta.2022.03.001.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-19, which the citation names so these numbers can be found later. More on citing and the projects behind them.