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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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1.2.1
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Install
install.packages('dupiR')
Monthly Downloads
199
Version
1.0
License
GPL-2
Maintainer
Federico Comoglio
Last Published
June 20th, 2013
Functions in dupiR (1.0)
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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