ecocbo: Calculating Optimum Sampling Effort in Community Ecology

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 ORCID iD [aut, cph], Arturo Sanchez-Porras ORCID iD [aut, cre]
Maintainer: Arturo Sanchez-Porras <sp.arturo at>
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:, r-release:, r-oldrel:
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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