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.


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Reference manual

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install.packages("GJRM")

0.1-2 by Giampiero Marra, a day ago


http://www.ucl.ac.uk/statistics/people/giampieromarra


Browse source code at https://github.com/cran/GJRM


Authors: Giampiero Marra <giampiero.marra@ucl.ac.uk> and Rosalba Radice <r.radice@bbk.ac.uk>


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