SSP: Simulated Sampling Procedure for Community Ecology

Simulation-based sampling protocol (SSP) is an R package design to estimate sampling effort in studies of ecological communities based on the definition of pseudo-multivariate standard error (MultSE) (Anderson & Santana-Garcon, 2015) <doi:10.1111/ele.12385> and simulation of ecological data. The theoretical background is described in Guerra-Castro et al. (2020) <doi:10.1101/2020.03.19.996991>.

Version: 1.0.1
Depends: R (≥ 3.5.0)
Imports: vegan, stats, sampling, ggplot2
Suggests: knitr, rmarkdown, testthat, roxygen2
Published: 2020-03-28
Author: Edlin Guerra-Castro [aut, cre], Maite Mascaro [aut], Nuno Simoes [aut], Juan Cruz-Motta [aut], Juan Cajas [aut]
Maintainer: Edlin Guerra-Castro <edlinguerra at gmail.com>
BugReports: https://github.com/edlinguerra/SSP/issues
License: GPL-2
URL: https://github.com/edlinguerra/SSP
NeedsCompilation: no
Materials: README
CRAN checks: SSP results

Downloads:

Reference manual: SSP.pdf
Vignettes: Estimation of sampling effort in community ecology with SSP
Package source: SSP_1.0.1.tar.gz
Windows binaries: r-devel: SSP_1.0.1.zip, r-release: SSP_1.0.1.zip, r-oldrel: SSP_1.0.1.zip
macOS binaries: r-release (arm64): SSP_1.0.1.tgz, r-release (x86_64): SSP_1.0.1.tgz, r-oldrel: SSP_1.0.1.tgz

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