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 |
| 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 binaries: | r-release: cmpprocess_1.0.tgz, r-oldrel: cmpprocess_1.0.tgz |
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