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: 0.2-6.5
Depends: R (≥ 3.5.0), mgcv
Imports: magic, VGAM, survey, trust, VineCopula, graphics, stats, utils, grDevices, ggplot2, matrixStats, mnormt, gamlss.dist, Rmpfr, scam, survival, psych, copula, numDeriv, evd, ismev, methods
Enhances: sp
Published: 2024-01-25
DOI: 10.32614/CRAN.package.GJRM
Author: Giampiero Marra and Rosalba Radice
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


Reference manual: GJRM.pdf


Package source: GJRM_0.2-6.5.tar.gz
Windows binaries: r-devel: GJRM_0.2-6.5.zip, r-release: GJRM_0.2-6.5.zip, r-oldrel: GJRM_0.2-6.5.zip
macOS binaries: r-release (arm64): GJRM_0.2-6.5.tgz, r-oldrel (arm64): GJRM_0.2-6.5.tgz, r-release (x86_64): GJRM_0.2-6.5.tgz, r-oldrel (x86_64): GJRM_0.2-6.5.tgz
Old sources: GJRM archive

Reverse dependencies:

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


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