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A system for calculating the optimal sampling effort, based on the ideas of "Ecological cost-benefit optimization" as developed by A. Underwood (1997, ISBN 0 521 55696 1). Data is obtained from simulated ecological communities, and the optimization follows the following procedure of four functions (1) sim_beta() estimates statistical power and type 2 error by using Permutational Multivariate Analysis of Variance, (2) plot_power() represents the results of the previous function, (3) scompvar() calculates the variation components necessary for (4) sim_cbo() to calculate the optimal combination of number of sites and samples depending on either an economical budget or on a desired statistical accuracy.
Version: | 0.10.2 |
Depends: | R (≥ 2.10) |
Imports: | ggplot2, ggpubr, sampling, stats, foreach, parallel, doParallel, vegan |
Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0), SSP |
Published: | 2023-08-18 |
DOI: | 10.32614/CRAN.package.ecocbo |
Author: | Edlin Guerra-Castro
|
Maintainer: | Arturo Sanchez-Porras <sp.arturo at gmail.com> |
License: | GPL (≥ 3) |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | ecocbo results |
Reference manual: | ecocbo.pdf |
Vignettes: |
ecocbo-guide |
Package source: | ecocbo_0.10.2.tar.gz |
Windows binaries: | r-devel: ecocbo_0.10.2.zip, r-release: ecocbo_0.10.2.zip, r-oldrel: ecocbo_0.10.2.zip |
macOS binaries: | r-release (arm64): ecocbo_0.10.2.tgz, r-oldrel (arm64): ecocbo_0.10.2.tgz, r-release (x86_64): ecocbo_0.10.2.tgz, r-oldrel (x86_64): ecocbo_0.10.2.tgz |
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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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