CRAN
GJRM 0.2
Generalised Joint Regression Modelling
Released Mar 7, 2019 by Giampiero Marra
Dependencies
distrEx 2.7.0 Rmpfr 0.7-2 ggplot2 3.1.0 VineCopula 2.1.6 copula 0.999-19 trustOptim 0.8.6.2 matrixStats 0.54.0 matrixcalc 1.0-3 evd 2.3-3 psych 1.8.12 numDeriv 2016.8-1 survey 3.35-1 mgcv 1.8-27 survival 2.43-3 VGAM 1.1-1 mnormt 1.5-5 magic 1.5-8 trust 0.1-7 gamlss.dist 5.1-1 scam 1.2-3
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.