GJRM (0.2-1)

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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.

Maintainer: Giampiero Marra
Author(s): Giampiero Marra <giampiero.marra@ucl.ac.uk> and Rosalba Radice <rosalba.radice@city.ac.uk>

License: GPL (>= 2)

Uses: copula, distrEx, evd, gamlss.dist, ggplot2, ismev, magic, matrixcalc, matrixStats, mgcv, mnormt, numDeriv, psych, Rmpfr, scam, survey, survival, trust, trustOptim, VGAM, VineCopula
Enhances: sp

Released about 1 month ago.

6 previous versions



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