Learn R Programming
⚠️There's a newer version (1.2.1) of this package.Take me there.

dupiR (version 1.2)

Bayesian inference from count data using discrete uniform priors

Description

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

Copy Link

Version

Install

install.packages('dupiR')

Monthly Downloads

163

Version

1.2

License

GPL-2

Maintainer

Federico Comoglio

Last Published

December 29th, 2014

Functions in dupiR (1.2)

Counts

Class "Counts" -- a container for measurements and dupiR inference results
newCounts

Construct an object of class Counts
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.
getPosteriorParam

Compute posterior probability distribution parameters
computePosterior

Compute the posterior probability distribution of the population size