JrEduardo/cmpreg: Reparametrized COM-Poisson Regression Models

Provide functions to fit Conway-Maxwell-Poisson (COM-Poisson) models with varying dispersion in its original parametrization and in the mean-type parametrization proposed by Ribeiro Jr, et al. 2018 <arxiv.org/abs/1801.09795>. The functions to computate the normalizing constant are written in C++, so the computations is reasonably fast.

Getting started

Package details

Maintainer
LicenseGPL-3
Version0.0.1
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("JrEduardo/cmpreg")
JrEduardo/cmpreg documentation built on May 8, 2019, 4:41 p.m.