dupiR: Bayesian inference from count data using discrete uniform priors

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

Version:	1.2
Depends:	R (≥ 2.15.1), methods, plotrix
Published:	2014-12-29
Author:	Federico Comoglio and Maurizio Rinaldi
Maintainer:	Federico Comoglio <federico.comoglio at bsse.ethz.ch>
License:	GPL-2
NeedsCompilation:	no
Citation:	dupiR citation info
Materials:	NEWS
CRAN checks:	dupiR results

Documentation:

Reference manual:

dupiR.pdf

Downloads:

Package source:	dupiR_1.2.tar.gz
Windows binaries:	r-devel: dupiR_1.2.zip, r-release: dupiR_1.2.zip, r-oldrel: dupiR_1.2.zip
macOS binaries:	r-release (arm64): dupiR_1.2.tgz, r-oldrel (arm64): dupiR_1.2.tgz, r-release (x86_64): dupiR_1.2.tgz, r-oldrel (x86_64): dupiR_1.2.tgz
Old sources:	dupiR archive

Linking:

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