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 |