preseqR: Predicting the Number of Species in a Random Sample

The relation between the number of species and the number of individuals in a random sample is a classic problem back to Fisher (1943) <doi:10.2307/1411>. We generalize this problem to estimate the number of species represented at least r times in a random sample. In particular when r=1, it becomes the classic problem. We use a mixture of Poisson processes to model sampling procedures and apply a nonparametric empirical Bayes approach to obtain an estimator. For more information on 'preseqR', see Deng C, Daley T and Smith AD (2015) <doi:10.1007/s40484-015-0049-7> and Deng C and Smith AD (2016) <arXiv:1607.02804v2>.

Version: 3.1.2
Imports: polynom, graphics, stats
Published: 2017-08-15
Author: Chao Deng, Timothy Daley and Andrew D. Smith
Maintainer: Chao Deng <chaodeng at usc.edu>
License: GPL-3
NeedsCompilation: no
Citation: preseqR citation info
Materials: README
CRAN checks: preseqR results

Downloads:

Reference manual: preseqR.pdf
Package source: preseqR_3.1.2.tar.gz
Windows binaries: r-devel: preseqR_3.1.2.zip, r-release: preseqR_3.1.2.zip, r-oldrel: preseqR_3.1.2.zip
OS X El Capitan binaries: r-release: preseqR_3.1.2.tgz
OS X Mavericks binaries: r-oldrel: preseqR_3.1.2.tgz
Old sources: preseqR archive

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