Package: gamlss2 0.1-0

Nikolaus Umlauf

gamlss2: GAMLSS Infrastructure for Flexible Distributional Regression

Next generation infrastructure for generalized additive models for location, scale, and shape (GAMLSS) and distributional regression more generally. The package provides a fresh reimplementation of the classic 'gamlss' package while being more modular and facilitating the creation of advanced terms and models.

Authors:Nikolaus Umlauf [aut, cre], Mikis Stasinopoulos [aut], Robert Rigby [aut], Achim Zeileis [aut], Reto Stauffer [aut], Gillian Heller [aut], Fernanda de Bastiani [aut], Andreas Mayr [aut]

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gamlss2_0.1-0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
gamlss2/json (API)

# Install 'gamlss2' in R:
install.packages('gamlss2', repos = c('https://gamlss-dev.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/gamlss-dev/gamlss2/issues

Pkgdown/docs site:https://gamlss-dev.github.io

Uses libs:
  • openblas– Optimized BLAS
Datasets:
  • HarzTraffic - Traffic Counts at Sonnenberg in the Harz Region
  • SpirometryUS - Spirometry Measurements from NHANES 2007-2012

On CRAN:

Conda:

quartoopenblas

8.09 score 18 stars 3 packages 46 scripts 66 exports 10 dependencies

Last updated from:550759daa8. Checks:13 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE171
linux-devel-x86_64NOTE223
source / vignettesOK289
linux-release-arm64NOTE187
linux-release-x86_64NOTE201
macos-release-arm64NOTE255
macos-release-x86_64NOTE640
macos-oldrel-arm64NOTE180
macos-oldrel-x86_64NOTE311
windows-devel-arm64NOTE337
windows-devel-x86_64NOTE202
windows-release-arm64NOTE284
windows-release-x86_64NOTE148
windows-oldrel-x86_64NOTE190
wasm-releaseOK125

Exports:ALDavailable_familiesbamlss2BScalibrationcensor_familyCGcv_gamlss2discretize_familydistributions3_familyelmfake_formulafind_familyfind_gamlss2fit_ALDfit_familyfkGAICgamlss2GAMLSS2gamlss2_controlgamlss2.formulagamlss2.listgnethurdle_familyinflate_familyjrJRKSKumaraswamylalinlolog_pdf_metriclogit_familymake.link2marginal_predictmcmcmixture_familyMNmsmse_metricnnew_formulaOLologitplot_lassoresponse_nameresultsridgeround_familyrqres_metricRSRsqselect_gamlss2shiftlogsisoftplusspecial_fitspecial_predictspecialssRSstep_gamlss2stepwisetransform_familytruncate_family

Dependencies:distributions3Formulagamlss.distlatticeMASSMatrixmgcvmvtnormnlmerlang

Family Extensions
Choosing an observation model | Truncation: earthquake magnitudes | Rounding: reported measurement precision | Discretization: measurements in groups | Censoring: measurements at a recording limit | Right-censored survival responses | Inflation and hurdles: two ways to model zeros | Checking the distributions before regression | Count regression | Proportions with exact endpoints | Transformations: modeling a positive response | Practical guidance
Rendered fromfamily_extensions.qmdusingquarto::html

Last update: 2026-10-14
Started: 2026-09-21

Overview
gamlss2: Infrastructure for Flexible Distributional Regression | Installation | License
Rendered fromgamlss2.qmdusingquarto::html

Last update: 2026-10-14
Started: 2024-10-04

Readme and manuals

Help Manual

Help pageTopics
GAMLSS Modeling with Advanced Flexible Infrastructuresgamlss2-package
Asymmetric Laplace Quantile RegressionALD fit_ALD
Bayesian GAMLSS Wrapperbamlss2
Bayesian Sampler for GAMLSS ModelsBS
Calibration Plots for Binary Responsescalibration
Conditional Inference Forest Model Termscf special_fit.cf special_predict.cf.fitted
Conditional Inference Tree Model Termsct special_fit.ct special_predict.ct.fitted
Cross Validation for 'gamlss2' Modelscv_gamlss2 log_pdf_metric mse_metric rqres_metric
Deviance of GAMLSS Modelsdeviance.gamlss2
Discretize a Distribution Family into Fixed Binsdiscretize_family
Extreme Learning Machine Model Termselm
Extended Processing of "Fake" Formulasfake_formula
Extend Distribution Familiescensor_family distribution_modifiers family_extensions hurdle_family inflate_family logit_family round_family transform_family truncate_family
Generate a 'gamlss2' Family from a 'distributions3' Objectdistributions3_family family.distribution family.GAMLSS family.gamlss.family
Find and Fit GAMLSS Familiesavailable_families find_family find_gamlss2 fit_family
Free-Knot Regression Splines for GAMLSSfk special_fit.fk special_predict.fk.fitted
Generalized Additive Models for Location Scale and Shapegamlss2 gamlss2.formula gamlss2.list
Create a GAMLSS2 Distributioncdf.GAMLSS2 cdf.gamlss2 format.GAMLSS2 GAMLSS2 is_continuous.GAMLSS2 is_continuous.gamlss2 is_discrete.GAMLSS2 is_discrete.gamlss2 kurtosis.GAMLSS2 kurtosis.gamlss2 log_pdf.GAMLSS2 log_pdf.gamlss2 mean.GAMLSS2 mean.gamlss2 pdf.GAMLSS2 pdf.gamlss2 print.GAMLSS2 quantile.GAMLSS2 random.GAMLSS2 random.gamlss2 skewness.GAMLSS2 skewness.gamlss2 support.GAMLSS2 support.gamlss2 variance.GAMLSS2 variance.gamlss2
Control Parametersgamlss2_control
Smoothing Parameter Selectiongamlss2_smoothing
Model Initialization and Parameter Constraintsgamlss2_start
Family Objects in 'gamlss2'family.gamlss2 gamlss2.family print.gamlss2.family
Model Terms with 'glmnet'gnet
Traffic Counts at Sonnenberg in the Harz RegionHarzTraffic
Convolutional Image Model Terms for GAMLSSim special_fit.im special_predict.im.fitted
Joint REML EstimationJR jr
Kumaraswamy DistributionKS Kumaraswamy shiftlog
Lasso Model Termsla plot_lasso
Bundled Linear and Ridge-Penalized Model Termslin Predict.matrix.lin.effect ridge smooth.construct.lin.smooth.spec
LOESS Smoothers for GAMLSSlo special_fit.lo special_predict.lo.fitted
Log-Likelihood of GAMLSS ModelslogLik.gamlss2
Create a Link for Familiesmake.link2
Marginal Prediction Profiles for gamlss2 Modelsmarginal_predict
Run MCMC Sampling for a Fitted 'gamlss2' Modelmcmc
Construct a Finite Mixture Distribution Familymixture_family
Multinomial Logit FamilyMN
Monotonic P-Splines for GAMLSSms special_fit.ms special_predict.ms.fitted
Neural Network Model Terms for GAMLSSn special_fit.n special_predict.n.fitted
Extracting a New Formula After Selection Algorithmsnew_formula
Ordered Logistic Family for Ordinal RegressionOL ologit
P-Splines for GAMLSSpb
Plotting GAMLSSplot.gamlss2 plot.gamlss2.list
Predictions from gamlss2 Modelspredict.gamlss2
Extracting Fitted or Predicted Probability Distributions from gamlss2 Modelsprodist.gamlss2
Quantiles for GAMLSSquantile.gamlss2
Random Effectsre
Residuals for GAMLSS Modelsplot.gamlss2.residuals residuals.gamlss2
Auxiliary Functions for Formulas and Model Objectsresponse_name
Extract Results from GAMLSS Modelsresults results.gamlss2
Rigby and Stasinopoulos (RS) & Cole and Green (CG) AlgorithmCG RS
GAIC and Generalised (Pseudo) R-squared for GAMLSS ModelsGAIC Rsq
Smooth Model Term Selection with Additional Penaltiesselect_gamlss2 sRS
Smooth Image Model Terms for GAMLSSPredict.matrix.si.effect si smooth.construct.si.smooth.spec
Softplus Link Objectsoftplus
Special Model Terms for GAMLSSspecials special_fit special_predict special_terms
Spirometry Measurements from NHANES 2007-2012SpirometryUS
Stepwise Model Term Selection Using GAICstepwise step_gamlss2
Regression Tree Model Termsspecial_fit.tree special_predict.tree.fitted tree
Reserved User Special Model Termuser
Joint Covariance Matrix for gamlss2 Modelsvcov.gamlss2