CRAN
JRM 0.1-1
Joint Regression Modelling
Released Jul 13, 2017 by Giampiero Marra
This package cannot yet be used with Renjin it depends on other packages which are not available: VineCopula 2.1.6, copula 0.999-18, and Rmpfr 0.7-1
Dependencies
copula 0.999-18 Rmpfr 0.7-1 VineCopula 2.1.6 survey 3.33-2 mnormt 1.5-5 magic 1.5-8 matrixStats 0.54.0 psych 1.8.4 VGAM 1.0-6 ggplot2 3.0.0 survival 2.42-6 gamlss.dist 5.0-6 scam 1.2-2 trust 0.1-7 mgcv 1.8-24
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.