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dupiR (version 1.1)
Bayesian inference from count data using discrete uniform priors
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
185
Version
1.1
License
GPL-2
Maintainer
Federico Comoglio
Last Published
August 6th, 2013
Functions in dupiR (1.1)
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plotPosterior
Plot posterior probability distributions
dupiR-package
Bayesian inference using discrete uniform priors with R
getCounts
Accessors for the 'counts' and 'fractions' slots of a Counts object.
Counts
Class "Counts" -- a container for measurements and dupiR inference results
newCounts
Construct an object of class Counts
computePosterior
Compute the posterior probability distribution of the population size
getPosteriorParam
Compute posterior probability distribution parameters