CRAN/E | gamlss

gamlss

Generalized Additive Models for Location Scale and Shape

Installation

About

Functions for fitting the Generalized Additive Models for Location Scale and Shape introduced by Rigby and Stasinopoulos (2005), doi:10.1111/j.1467-9876.2005.00510.x. The models use a distributional regression approach where all the parameters of the conditional distribution of the response variable are modelled using explanatory variables.

Citation gamlss citation info
www.gamlss.com/
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Key Metrics

Version 5.4-22
R ≥ 3.3.0
Published 2024-03-20 37 days ago
Needs compilation? yes
License GPL-2
License GPL-3
CRAN checks gamlss results

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Maintainer

Maintainer

Mikis Stasinopoulos

d.stasinopoulos@gre.ac.uk

Authors

Mikis Stasinopoulos

aut / cre / cph

Robert Rigby

aut

Vlasios Voudouris

ctb

Calliope Akantziliotou

ctb

Marco Enea

ctb

Daniil Kiose

ctb

Achim Zeileis

ctb

Material

README
NEWS
Reference manual
Package source

In Views

Econometrics
MixedModels

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

gamlss archive

Depends

R ≥ 3.3.0
graphics
stats
splines
utils
grDevices
gamlss.data ≥ 5.0-0
gamlss.dist ≥ 4.3.1
nlme
parallel

Imports

MASS
survival
methods

Suggests

distributions3 ≥ 0.2.1

Reverse Depends

acid
binequality
BSagri
chicane
gamlss.add
gamlss.cens
gamlss.countKinf
gamlss.foreach
gamlss.inf
gamlss.lasso
gamlss.mx
gamlss.spatial
gamlss.tr
ImputeRobust
metamicrobiomeR
semsfa
ZIBseq

Reverse Imports

AGD
borealis
childsds
DEsingle
distreg.vis
fMRIscrub
gamlssbssn
mixpoissonreg
QFASA
RelDists
scDesign3
scRecover
sregsurvey
ugomquantreg
vasicekreg

Reverse Suggests

bamlss
broom.mixed
depmixS4
ensemblepp
gamboostLSS
ggeffects
hnp
insight
marginaleffects
mlt.docreg
MNM
modelsummary
parameters
PerformanceAnalytics
qra
surveillance
tram

Reverse Enhances

MuMIn
texreg