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GJRM: Generalised Joint Regression Modelling

Routines for fitting various joint (and univariate) regression models, with several types of covariate effects, in the presence of equations' errors association.

Version:0.2-6.8
Depends:R (≥ 3.6.0)
Imports:mgcv,magic,VGAM,survey,trust,VineCopula, graphics, stats, utils, grDevices,ggplot2,matrixStats,mnormt,gamlss.dist,Rmpfr,scam,survival,psych,copula,numDeriv,evd,ismev, methods,distrEx
Enhances:sp
Published:2025-06-23
DOI:10.32614/CRAN.package.GJRM
Author:Giampiero Marra [aut, cre], Rosalba Radice [aut]
Maintainer:Giampiero Marra <giampiero.marra at ucl.ac.uk>
License:GPL-2 |GPL-3 [expanded from: GPL (≥ 2)]
URL:https://www.ucl.ac.uk/statistics/people/giampieromarra
NeedsCompilation:no
Citation:GJRM citation info
Materials:ChangeLog
In views:ExtremeValue,Robust,Survival
CRAN checks:GJRM results

Documentation:

Reference manual:GJRM.html ,GJRM.pdf

Downloads:

Package source: GJRM_0.2-6.8.tar.gz
Windows binaries: r-devel:GJRM_0.2-6.8.zip, r-release:GJRM_0.2-6.8.zip, r-oldrel:GJRM_0.2-6.8.zip
macOS binaries: r-release (arm64):GJRM_0.2-6.8.tgz, r-oldrel (arm64):GJRM_0.2-6.8.tgz, r-release (x86_64):GJRM_0.2-6.8.tgz, r-oldrel (x86_64):GJRM_0.2-6.8.tgz
Old sources: GJRM archive

Reverse dependencies:

Reverse imports:flexmsm,micemd,penfa
Reverse suggests:GJRM.data,gratia

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=GJRMto link to this page.


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