The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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
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:

Please use the canonical form https://CRAN.R-project.org/package=RSE to link to this page.

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.
Health stats visible at Monitor.