This R package implements a Bayesian approach to infer population sizes from count data. The package takes a set of sample counts obtained by sampling fractions of a finite volume containing an homogeneously dispersed population of identical objects and returns the posterior probability distribution of the population size. The algorithm makes use of a binomial likelihood and non-conjugate, discrete uniform priors. `dupiR`

can be applied to both sampling with or without replacement.

Further details on the statistical framework can be found in:

- Comoglio F, Fracchia L, Rinaldi M (2013) Bayesian Inference from Count Data Using Discrete Uniform Priors. PLoS ONE 8(10): e74388

Please cite this article if you are using `dupiR`

for your research.

## Installation

You can install the latest package release from CRAN:

or the development version from GitHub: