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.


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Reference manual

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install.packages("GJRM")

0.1-5 by Giampiero Marra, 3 months ago


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


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


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


Documentation:   PDF Manual  


GPL (>= 2) license


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

Depends on mgcv

Enhances sp


Imported by miceMNAR.


See at CRAN