GJRM: 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.

Package details

AuthorGiampiero Marra <[email protected]> and Rosalba Radice <[email protected]>
MaintainerGiampiero Marra <[email protected]>
LicenseGPL (>= 2)
Version0.2
URL http://www.ucl.ac.uk/statistics/people/giampieromarra
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("GJRM")

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GJRM documentation built on May 2, 2019, 7:01 a.m.