KironmoyDas/STAT0035_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.

Getting started

Package details

AuthorGiampiero Marra <giampiero.marra@ucl.ac.uk> and Rosalba Radice <rosalba.radice@city.ac.uk>
MaintainerGiampiero Marra <giampiero.marra@ucl.ac.uk>
LicenseGPL (>= 2)
Version0.2-3
URL https://www.ucl.ac.uk/statistics/people/giampieromarra
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("KironmoyDas/STAT0035_GJRM")
KironmoyDas/STAT0035_GJRM documentation built on Jan. 25, 2021, 12:31 a.m.