Package: GJRM
Type: Package
Version: 0.2-6.9
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.
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, psych, copula, numDeriv, evd, ismev, methods,
        distrEx, pracma
Enhances: sp
LazyLoad: yes
License: GPL (>= 2)
URL:
        https://www.ucl.ac.uk/mathematical-physical-sciences/statistics/people/academic-and-lecturing-staff/professor-giampiero-marra
NeedsCompilation: no
Packaged: 2026-10-13 10:40:38 UTC; root
Config/pak/sysreqs: libgmp3-dev make libgsl0-dev libmpfr-dev
Repository: https://giampmarra.r-universe.dev
Date/Publication: 2026-06-15 14:39:45 UTC
RemoteUrl: https://github.com/cran/GJRM
RemoteRef: HEAD
RemoteSha: 168d1832a50c7776b2a50f9349214bd901971e7a