diagdavenport/cmpprocess: Flexible Modeling of Count Processes

A toolkit for flexible modeling of count processes where data (over- or under-) dispersion exists. Estimations can be obtained under two data constructs where one has: (1) data on number of events in an s-unit time interval, or (2) only wait-time data. This package is supplementary to the work set forth in Zhu et al. (2016) <doi:10.1080/00031305.2016.1234976>.

Getting started

Package details

MaintainerDiag Davenport <diag.davenport@gmail.com>
LicenseGPL-3
Version1.0
URL http://amstat.tandfonline.com/doi/full/10.1080/00031305.2016.1234976#.WKfOdPkrJPY
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("diagdavenport/cmpprocess")
diagdavenport/cmpprocess documentation built on Jan. 9, 2020, 3:52 p.m.