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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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