dupiR-package: Bayesian inference using discrete uniform priors with R
Description
This 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.
Details
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Package: |
| dupiR |
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Type: |
| Package |
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Version: |
| 1.2 |
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Date: |
| 2014-12-29 |
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License: |
| GPL-2 |
References
Comoglio F, Fracchia L and Rinaldi M (2013) Bayesian inference from count data using discrete uniform priors. PLOS ONE, 8(10):e74388. doi:10.1371/journal.pone.0074388