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 |
| 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: SSP_1.0.1.tgz, r-oldrel: SSP_1.0.1.tgz |
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