GJRM: Generalised Joint Regression Modelling (original) (raw)
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: | |
| In views: | ExtremeValue, Robust, Survival |
| CRAN checks: | GJRM results |
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