JRM (0.1-1)

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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.

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

License: GPL (>= 2)

Uses: copula, gamlss.dist, ggplot2, magic, matrixStats, mgcv, mnormt, psych, Rmpfr, scam, survey, survival, trust, VGAM, VineCopula
Enhances: sp

Released over 2 years ago.



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