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>.

Version: 1.0
Imports: compoisson, numDeriv
Published: 2017-03-11
Author: Li Zhu [aut], Kimberly Sellers [aut], Darcy Morris [aut], Galit Shmueli [aut], Diag Davenport [aut, cre]
Maintainer: Diag Davenport <diag.davenport at gmail.com>
BugReports: https://github.com/diagdavenport/cmpprocess/issues
License: GPL-3
URL: http://amstat.tandfonline.com/doi/full/10.1080/00031305.2016.1234976#.WKfOdPkrJPY
NeedsCompilation: no
CRAN checks: cmpprocess results

Downloads:

Reference manual: cmpprocess.pdf
Package source: cmpprocess_1.0.tar.gz
Windows binaries: r-devel: cmpprocess_1.0.zip, r-release: cmpprocess_1.0.zip, r-oldrel: cmpprocess_1.0.zip
OS X El Capitan binaries: r-release: cmpprocess_1.0.tgz
OS X Mavericks binaries: r-oldrel: cmpprocess_1.0.tgz

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