imPois (version 0.0.7.5)

Imprecise Inferential Framework for Poisson Sampling Model

Description

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.

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Install

install.packages('imPois')

Monthly Downloads

30

Version

0.0.7.5

License

GPL (>= 2)

Maintainer

Last Published

November 28th, 2015

Functions in imPois (0.0.7.5)