Bayesian inference from count data using discrete uniform priors

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Documentation for package ‘dupiR’ version 1.2

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dupiR-package Bayesian inference using discrete uniform priors with R
computePosterior Compute the posterior probability distribution of the population size
computePosterior-method Compute the posterior probability distribution of the population size
computePosterior-methods Compute the posterior probability distribution of the population size
Counts Class "Counts" - a container for measurements and dupiR inference results
Counts-class Class "Counts" - a container for measurements and dupiR inference results
dupiR Bayesian inference using discrete uniform priors with R
getCounts Accessors for the 'counts' and 'fractions' slots of a Counts object.
getCounts-method Accessors for the 'counts' and 'fractions' slots of a Counts object.
getCounts-methods Accessors for the 'counts' and 'fractions' slots of a Counts object.
getFractions Accessors for the 'counts' and 'fractions' slots of a Counts object.
getFractions-method Accessors for the 'counts' and 'fractions' slots of a Counts object.
getFractions-methods Accessors for the 'counts' and 'fractions' slots of a Counts object.
getPosteriorParam Compute posterior probability distribution parameters
getPosteriorParam-method Compute posterior probability distribution parameters
getPosteriorParam-methods Compute posterior probability distribution parameters
newCounts Construct an object of class Counts
plot-method Plot posterior probability distributions
plotPosterior Plot posterior probability distributions
plotPosterior-method Plot posterior probability distributions
plotPosterior-methods Plot posterior probability distributions
summary-method Class "Counts" - a container for measurements and dupiR inference results