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RSE: Number of Newly Discovered Rare Species Estimation

A Bayesian-weighted estimator and two unweighted estimators are developed to estimate the number of newly found rare species in additional ecological samples. Among these methods, the Bayesian-weighted estimator and an unweighted (Chao-derived) estimator are of high accuracy and recommended for practical applications. Technical details of the proposed estimators have been well described in the following paper: Shen TJ, Chen YH (2018) A Bayesian weighted approach to predicting the number of newly discovered rare species. Conservation Biology, In press.

Version: 1.3
Published: 2018-11-20
DOI: 10.32614/CRAN.package.RSE
Author: Youhua Chen,Tsung-Jen Shen
Maintainer: Youhua Chen <haydi at 126.com>
License: GPL-3
NeedsCompilation: no
CRAN checks: RSE results

Documentation:

Reference manual: RSE.pdf

Downloads:

Package source: RSE_1.3.tar.gz
Windows binaries: r-devel: RSE_1.3.zip, r-release: RSE_1.3.zip, r-oldrel: RSE_1.3.zip
macOS binaries: r-release (arm64): RSE_1.3.tgz, r-oldrel (arm64): RSE_1.3.tgz, r-release (x86_64): RSE_1.3.tgz, r-oldrel (x86_64): RSE_1.3.tgz
Old sources: RSE archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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