dcpm

dcpm.ztrunc

pcpm

pcpm.ztrunc

pars


Density and distribution function for the Bickis and Lee's distribution with three parameters $xi_2$, $xi_1$, and $xi_0$.


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.

Chel Hee Lee

imPois

Imprecise Inferential Framework for Poisson Sampling Model

dcpm function

Imprecise Probability Distribution

dcpm: Imprecise Probability Distribution

Description

Usage

Arguments