imPois: Imprecise Inferential Framework for Poisson Sampling Model

A collection of tools for conducting an imprecise inference is provided. Imprecise prior is used for this inference, and imprecise probability theory introduced by Peter Walley (1991) is its underlying theoretical foundation. The package is developed based on the PhD thesis work of Lee (2014). Poisson and zero-truncated Poisson sampling models are mainly studied with two types of prior distributions.

Depends: R (≥ 2.7.0)
Imports: geometry, grDevices, graphics, stats, utils, rgl
Published: 2015-11-28
Author: Chel Hee Lee [aut, cre, cph], Mikelis Bickis [aut, ths, cph]
Maintainer: Chel Hee Lee <chl948 at>
Contact: Chel Hee Lee <>
BugReports: Chel Hee Lee <>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README ChangeLog
CRAN checks: imPois results


Reference manual: imPois.pdf
Package source: imPois_0.0.7.5.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Mavericks binaries: r-release: imPois_0.0.7.5.tgz, r-oldrel: imPois_0.0.7.5.tgz
Old sources: imPois archive


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