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 |