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 with prep_data() which formats and arranges the initial data, and then the optimization follows the following procedure of four functions: (1) scompvar() calculates the variation components necessary for (2) sim_cbo() to calculate the optimal combination of number of sites and samples depending on either an economic budget or on a desired statistical accuracy. Additionally, (3) sim_beta() estimates statistical power and type 2 error by using Permutational Multivariate Analysis of Variance, and (6) plot_power() represents the results of the previous function.
Version: 0.12.0 Depends: R (≥ 2.10) Imports: ggplot2, ggpubr, sampling, stats, rlang, foreach, parallel, doParallel, doSNOW, vegan, SSP Suggests: knitr, rmarkdown, testthat (≥ 3.0.0) Published: 2024-08-21 DOI: 10.32614/CRAN.package.ecocbo Author: Edlin Guerra-Castro [aut, cph], Arturo Sanchez-Porras [aut, cre] Maintainer: Arturo Sanchez-Porras <sp.arturo at gmail.com> License: GPL (≥ 3) NeedsCompilation: no Materials: README, NEWS CRAN checks: ecocbo results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=ecocbo to link to this page.
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