Package: GJRM
Type: Package
Version: 0.2-6.7
Title: Generalised Joint Regression Modelling
Description: 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.
Authors@R: c(person(given = "Giampiero", family = "Marra", role = c("aut", "cre"), email = "giampiero.marra@ucl.ac.uk"),
             person(given = "Rosalba", family = "Radice", role = "aut", email = "rosalba.radice@city.ac.uk"))    
Author: Giampiero Marra [aut, cre],
  Rosalba Radice [aut]
Maintainer: Giampiero Marra <giampiero.marra@ucl.ac.uk>
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
LazyLoad: yes
License: GPL (>= 2)
URL: https://www.ucl.ac.uk/statistics/people/giampieromarra
Repository: CRAN
Date/Publication: 2024-10-25 09:10:13 UTC
NeedsCompilation: no
Packaged: 2024-10-24 06:01:57 UTC; Giampiero
Built: R 4.3.3; ; 2025-04-07 02:23:34 UTC; windows
