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

Downloads:

Reference manual: dupiR.pdf
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
OS X Snow Leopard binaries: r-release: dupiR_1.2.tgz, r-oldrel: dupiR_1.2.tgz
OS X Mavericks binaries: r-release: dupiR_1.2.tgz
Old sources: dupiR archive