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]

gamlss2_0.1-0.tar.gz
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gamlss2_0.1-0.tgz(r-4.6-x86_64)gamlss2_0.1-0.tgz(r-4.6-arm64)gamlss2_0.1-0.tgz(r-4.5-x86_64)gamlss2_0.1-0.tgz(r-4.5-arm64)
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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

Datasets:

HarzTraffic - Traffic Counts at Sonnenberg in the Harz Region
SpirometryUS - Spirometry Measurements from NHANES 2007-2012

On CRAN:

quarto

7.67 score 17 stars 3 packages 38 scripts 44 exports 26 dependencies

Last updated from:24443a076f. Checks:11 NOTE, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	NOTE	178
linux-devel-x86_64	NOTE	189
source / vignettes	OK	224
linux-release-arm64	NOTE	173
linux-release-x86_64	NOTE	189
macos-release-arm64	NOTE	183
macos-release-x86_64	NOTE	399
macos-oldrel-arm64	NOTE	145
macos-oldrel-x86_64	NOTE	272
windows-devel	NOTE	175
windows-release	NOTE	200
windows-oldrel	NOTE	177
wasm-release	OK	123

Exports:available_families bamlss2 BS calibration CG cv_gamlss2 discretize elm fake_formula find_family find_gamlss2 fit_family GAIC gamlss2 gamlss2_control gamlss2.formula gamlss2.list GDF gnet KS Kumaraswamy la log_pdf_metric make.link2 mcmc MN mse_metric new_formula OL ologit plot_lasso response_name rqres_metric RS Rsq select_gamlss2 shiftlog softplus special_fit special_predict specials sRS step_gamlss2 stepwise

Dependencies:cli cpp11 distributions3 farver Formula gamlss.dist ggplot2 glue gtable isoband labeling lattice lifecycle MASS Matrix mgcv mvtnorm nlme R6 RColorBrewer rlang S7 scales vctrs viridisLite withr

Overview

gamlss2: Infrastructure for Flexible Distributional Regression | Installation | Licence

Rendered fromgamlss2.qmdusingquarto::html

Last update: 2026-02-25
Started: 2024-10-04

Help page	Topics
GAMLSS Modeling with Advanced Flexible Infrastructures	gamlss2-package
Bayesian GAMLSS Wrapper	bamlss2
Bayesian Sampler for GAMLSS Models	BS
Calibration Plots for Binary Responses	calibration
Cross Validation for 'gamlss2' Models	cv_gamlss2 log_pdf_metric mse_metric rqres_metric
Deviance of GAMLSS Models	deviance.gamlss2
Discretize Continuous Distribution Family for Count Regression Models	discretize
Extreme Learning Machine Model Terms	elm
Extended Processing of "Fake" Formulas	fake_formula
Find and Fit GAMLSS Families	available_families find_family find_gamlss2 fit_family
Generalized Additive Models for Location Scale and Shape	gamlss2 gamlss2.formula gamlss2.list
Control Parameters	gamlss2_control
Model Initialization and Parameter Constraints	gamlss2_start
Family Objects in 'gamlss2'	family.gamlss2 gamlss2.family
Create a GDF Distribution	cdf.gamlss2 cdf.GDF format.GDF GDF is_continuous.gamlss2 is_continuous.GDF is_discrete.gamlss2 is_discrete.GDF kurtosis.gamlss2 kurtosis.GDF log_pdf.gamlss2 log_pdf.GDF mean.gamlss2 mean.GDF pdf.gamlss2 pdf.GDF print.GDF quantile.GDF random.gamlss2 random.GDF skewness.gamlss2 skewness.GDF support.gamlss2 support.GDF variance.gamlss2 variance.GDF
Model Terms with 'glmnet'	gnet
Traffic Counts at Sonnenberg in the Harz Region	HarzTraffic
Kumaraswamy Distribution	KS Kumaraswamy shiftlog
Lasso Model Terms	la plot_lasso
Log-Likelihood of GAMLSS Models	logLik.gamlss2
Create a Link for Families	make.link2
Run MCMC Sampling for a Fitted 'gamlss2' Model	mcmc
Multinomial Logit Family	MN
Extracting a New Formula After Selection Algorithms	new_formula
Ordered Logistic Family for Ordinal Regression	OL ologit
P-Splines for GAMLSS	pb
Plotting GAMLSS	plot.gamlss2 plot.gamlss2.list
Extracting Fitted or Predicted Parameters or Terms from gamlss2 Models	predict.gamlss2
Extracting Fitted or Predicted Probability Distributions from gamlss2 Models	prodist.gamlss2
Quantiles for GAMLSS	quantile.gamlss2
Random Effects	re
Residuals for GAMLSS Models	plot.gamlss2.residuals residuals.gamlss2
Auxiliary Functions for Formulas and Model Objects	response_name
Rigby and Stasinopoulos (RS) & Cole and Green (CG) Algorithm	CG RS
GAIC and Generalised (Pseudo) R-squared for GAMLSS Models	GAIC Rsq
Smooth Model Term Selection with Additional Penalties	select_gamlss2 sRS
Softplus Link Object	softplus
Special Model Terms for GAMLSS	specials special_fit special_predict special_terms
Spirometry Measurements from NHANES 2007-2012	SpirometryUS
Stepwise Model Term Selection Using GAIC	stepwise step_gamlss2

Package: gamlss2 0.1-0

gamlss2: GAMLSS Infrastructure for Flexible Distributional Regression

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