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 |
Documentation:
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