Package: gamboostLSS 2.2-0

Benjamin Hofner

gamboostLSS: Boosting Methods for 'GAMLSS'

Boosting models for fitting generalized additive models for location, shape and scale ('GAMLSS') to potentially high dimensional data.

Authors:Benjamin Hofner [aut, cre], Andreas Mayr [aut], Nora Fenske [aut], Janek Thomas [aut], Matthias Schmid [aut], Bjarne Herbst [aut]

gamboostLSS_2.2-0.tar.gz
gamboostLSS_2.2-0.zip(r-4.7-any)gamboostLSS_2.2-0.zip(r-4.6-any)gamboostLSS_2.2-0.zip(r-4.5-any)
gamboostLSS_2.2-0.tgz(r-4.6-any)gamboostLSS_2.2-0.tgz(r-4.5-any)
gamboostLSS_2.2-0.tar.gz(r-4.7-any)gamboostLSS_2.2-0.tar.gz(r-4.6-any)
gamboostLSS_2.2-0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
gamboostLSS/json (API)

# Install 'gamboostLSS' in R:
install.packages('gamboostLSS', repos = c('https://boost-r.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/boost-r/gamboostlss/issues

Datasets:
  • india - Malnutrition of Children in India
  • india.bnd - Malnutrition of Children in India

On CRAN:

Conda:

boosting-algorithmsgamboostlssgamlssmachine-learningr-languagevariable-selection

9.31 score 28 stars 1 packages 180 scripts 2.3k downloads 4 mentions 69 exports 18 dependencies

Last updated from:d5d381253d. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develNOTE289
source / vignettesOK310
linux-releaseNOTE301
macos-releaseNOTE281
macos-oldrelNOTE315
windows-develNOTE317
windows-releaseNOTE300
windows-oldrelNOTE314
wasm-releaseOK95

Exports:as.familiesBernoulliLSSBetaLSSBetaMuBetaPhiblackboostLSScopula_tauCopulaFamiliescvrisk.mboostLSScvrisk.nc_mboostLSSDirichletAlphaDirichletLSSFamiliesgamboostLSSgamboostLSS_interngamlss.Familiesgamlss1parMugamlss2parMugamlss2parSigmagamlss3parMugamlss3parNugamlss3parSigmagamlss4parMugamlss4parNugamlss4parSigmagamlss4parTauGammaLSSGammaMuGammaSigmaGaussianLSSGaussianMuGaussianSigmaglmboostLSSLogLogLSSLogLogMuLogLogSigmaLogNormalLSSLogNormalMuLogNormalSigmamake_copula_gridmake.gridmboostLSSmboostLSS_fitmodel.weightsNBinomialLSSNBinomialMuNBinomialSigmaPIplot.cvriskLSSplot.gamboostLSSplot.glmboostLSSplot.nc_cvriskLSSplot.predintpredict.mboostLSSpredintselectedselected.mboostLSSselected.stabsel_mboostLSSstabsel.mboostLSSStudentTDfStudentTLSSStudentTMuStudentTSigmaWeibullLSSWeibullMuWeibullSigmaweighted.medianZINBLSSZIPoLSS

Dependencies:Formulagamlss.distinumlatticelibcoinMASSMatrixmboostmvtnormnnlspartykitquadprogrpartsandwichstabsstrucchangesurvivalzoo

Bivariate Copula Regression with gamboostLSS
Introduction | A first model | Choosing a copula | Discrete and binary margins | Selecting mstop | A worked example | Practical Notes | Session info

Last update: 2026-08-24
Started: 2026-08-24

gamboostLSS Tutorial
Introduction | A toy example | Boosting GAMLSS models | Childhood malnutrition in India | The Package gamboostLSS | Summary | The gamboostLSS algorithm | Data pre-processing and stabilization of gradients | Additional Families

Last update: 2026-01-26
Started: 2016-08-04

Readme and manuals

Help Manual

Help pageTopics
Boosting algorithms for GAMLSSgamboostLSS-package
Include 'gamlss.dist' families in the boosting framework of 'gamboostLSS'as.families gamlss.Families gamlss1parMu gamlss2parMu gamlss2parSigma gamlss3parMu gamlss3parNu gamlss3parSigma gamlss4parMu gamlss4parNu gamlss4parSigma gamlss4parTau
Bivariate Copula Families for Boosting GAMLSS-modelsCopulaFamilies copula_tau
Cross-Validationcvrisk cvrisk.mboostLSS cvrisk.nc_mboostLSS make.grid make_copula_grid plot.cvriskLSS plot.nc_cvriskLSS
Families for GAMLSS modelsBernoulliLSS BetaLSS BetaMu BetaPhi DirichletAlpha DirichletLSS Families families GammaLSS GammaMu GammaSigma GaussianLSS GaussianMu GaussianSigma LogLogLSS LogLogMu LogLogSigma LogNormalLSS LogNormalMu LogNormalSigma NBinomialLSS NBinomialMu NBinomialSigma options stabilize_ngrad stabilize_ngradient stab_ngrad StudentTDf StudentTLSS StudentTMu StudentTSigma WeibullLSS WeibullMu WeibullSigma ZINBLSS ZIPoLSS
Malnutrition of Children in India (DHS, 1998-99)india india.bnd
Fitting GAMLSS by BoostingblackboostLSS gamboostLSS glmboostLSS mboostLSS mboostLSS_fit
Methods for mboostLSScoef.glmboostLSS coef.mboostLSS fitted.mboostLSS model.weights model.weights.default model.weights.mboostLSS mstop.cvriskLSS mstop.mboostLSS mstop.oobag PI plot.gamboostLSS plot.glmboostLSS plot.predint predict.mboostLSS predint print.mboostLSS risk risk.mboostLSS risk.nc_mboostLSS selected selected.mboostLSS summary.mboostLSS update.mboostLSS [.mboostLSS
Stability Selectionselected.stabsel_mboostLSS stabsel.mboostLSS
Weighted Medianweighted.median