DiversitySampler: Functions for re-sampling a community matrix to compute diversity indices at different sampling levels

There are two functions in this package, which can be used together to estimate the Shannon's Diversity index at different levels of sample size. A Monte-Carlo procedure is used to re-sample a given observation at each level of sampling. The expectation being that the mean of the re-sampling will approach Shannon's diversity index at that sample level.

Version: 2.1
Published: 2012-12-22
Author: Matthew K. Lau
Maintainer: Matthew K. Lau <mkl48 at nau.edu>
License: GPL (≥ 3)
NeedsCompilation: no
CRAN checks: DiversitySampler results


Reference manual: DiversitySampler.pdf
Package source: DiversitySampler_2.1.tar.gz
Windows binaries: r-devel: DiversitySampler_2.1.zip, r-release: DiversitySampler_2.1.zip, r-oldrel: DiversitySampler_2.1.zip
OS X El Capitan binaries: r-release: DiversitySampler_2.1.tgz
OS X Mavericks binaries: r-oldrel: DiversitySampler_2.1.tgz
Old sources: DiversitySampler archive


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