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dupiR (version 1.0)

dupiR

Description

Inference of population sizes using a binomial likelihood and least informative discrete uniform priors.

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Version

Install

install.packages('dupiR')

Monthly Downloads

163

Version

1.0

License

GPL-2

Maintainer

Federico Comoglio

Last Published

June 20th, 2013

Functions in dupiR (1.0)

computePosterior

Compute the posterior density of the population size using a discrete uniform prior and binomial likelihood (DUP) or a Gamma prior and a Poisson likelihood (GP)
newCounts

Constructor of objects of class Counts
dupiR-package

Bayesian inference using discrete uniform priors with R
Counts

Class "Counts" -- a container for measurements information and inference results
getCounts

Accessors for the 'counts' and 'fractions' slots of a Counts object.
getPosteriorParam

Obtain statistical parameters from the posterior density.
plotPosterior

Plot posterior densities