Routines for fitting various joint regression models, with several types of covariate effects, in the presence of associated error equations, endogeneity, non-random sample selection or partial observability.
Version: | 0.1-4 |
Depends: | R (≥ 3.2.1), mgcv |
Imports: | magic, VGAM, survey, trust, VineCopula, graphics, stats, utils, grDevices, ggplot2, matrixStats, mnormt, gamlss.dist, Rmpfr, scam, survival, psych, copula |
Enhances: | sp |
Published: | 2017-12-13 |
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: | http://www.ucl.ac.uk/statistics/people/giampieromarra |
NeedsCompilation: | no |
Citation: | GJRM citation info |
Materials: | ChangeLog |
CRAN checks: | GJRM results |
Reference manual: | GJRM.pdf |
Package source: | GJRM_0.1-4.tar.gz |
Windows binaries: | r-devel: GJRM_0.1-4.zip, r-release: GJRM_0.1-4.zip, r-oldrel: GJRM_0.1-4.zip |
OS X El Capitan binaries: | r-release: GJRM_0.1-4.tgz |
OS X Mavericks binaries: | r-oldrel: GJRM_0.1-4.tgz |
Old sources: | GJRM archive |
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