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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, endogeneity, non-random sample selection or partial observability.

Version: 0.2-6.7
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: 2024-10-25
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.pdf

Downloads:

Package source: GJRM_0.2-6.7.tar.gz
Windows binaries: r-devel: GJRM_0.2-6.7.zip, r-release: GJRM_0.2-6.7.zip, r-oldrel: GJRM_0.2-6.7.zip
macOS binaries: r-release (arm64): GJRM_0.2-6.7.tgz, r-oldrel (arm64): GJRM_0.2-6.7.tgz, r-release (x86_64): GJRM_0.2-6.7.tgz, r-oldrel (x86_64): GJRM_0.2-6.7.tgz
Old sources: GJRM archive

Reverse dependencies:

Reverse imports: BRBVS, flexmsm, micemd, penfa
Reverse suggests: gratia

Linking:

Please use the canonical form https://CRAN.R-project.org/package=GJRM to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.