Generalised Joint Regression Modelling

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.


Reference manual

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0.2-5.1 by Giampiero Marra, 3 months ago

Browse source code at

Authors: Giampiero Marra <[email protected]> and Rosalba Radice <[email protected]>

Documentation:   PDF Manual  

GPL (>= 2) license

Imports magic, VGAM, survey, trust, VineCopula, graphics, stats, utils, grDevices, ggplot2, matrixStats, mnormt, gamlss.dist, Rmpfr, scam, survival, psych, copula, distrEx, numDeriv, evd, ismev

Depends on mgcv

Enhances sp

Imported by penfa.

See at CRAN