Generalised Joint Regression Modelling

Routines for fitting various joint regression models, with several types of covariate effects, in the presence of associated error equations, endogeneity, non-random sample selection or partial observability.


Reference manual

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0.1-4 by Giampiero Marra, 2 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

Depends on mgcv

Enhances sp

See at CRAN