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 with prep_data() which formats and arranges the initial data, and then the optimization follows the following procedure of four functions: (1) prep_data() takes the original dataset and creates simulated sets that can be used as a basis for estimating statistical power and type II error. (2) sim_beta() is used to estimate the statistical power for the different sampling efforts specified by the user. (3) sim_cbo() calculates then the optimal sampling effort, based on the statistical power and the sampling costs. Additionally, (4) scompvar() calculates the variation components necessary for (5) Underwood_cbo() to calculate the optimal combination of number of sites and samples depending on either an economic budget or on a desired statistical accuracy. Lastly, (6) plot_power() helps the user visualize the results of sim_beta().
| Version: | 1.0.0 |
| Depends: | R (≥ 4.1.0) |
| Imports: | ggplot2,ggpubr, stats,rlang,tibble,dplyr,tidyr,tidyselect,parabar,parallelly,vegan,SSP (≥ 1.1.0),plotly |
| Suggests: | knitr,rmarkdown,testthat (≥ 3.0.0) |
| Published: | 2025-11-21 |
| 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> |
| BugReports: | https://github.com/arturoSP/ecocbo/issues |
| License: | GPL (≥ 3) |
| URL: | https://github.com/arturoSP/ecocbo |
| NeedsCompilation: | no |
| Materials: | README,NEWS |
| CRAN checks: | ecocbo results |
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