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

AuthorLi Zhu [aut], Kimberly Sellers [aut], Darcy Morris [aut], Galit Shmueli [aut], Diag Davenport [aut, cre]
MaintainerDiag Davenport <diag.davenport@gmail.com>
LicenseGPL-3
Version1.1
URL http://amstat.tandfonline.com/doi/full/10.1080/00031305.2016.1234976#.WKfOdPkrJPY
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("cmpprocess")

Try the cmpprocess package in your browser

Any scripts or data that you put into this service are public.

cmpprocess documentation built on Jan. 14, 2020, 1:07 a.m.