Calculating Optimum Sampling Effort in Community Ecology R package ecocbo version 1.0.0 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(). Software 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) Arturo Sanchez-Porras <sp.arturo@gmail.com> Comprehensive R Archive Network (CRAN) Edlin Guerra-Castro [aut, cph] (ORCID: <https://orcid.org/0000-0003-3529-4507>), Arturo Sanchez-Porras [aut, cre] (ORCID: <https://orcid.org/0000-0002-1691-286X>) GPL (>= 3) 2025-11-21 application/tgz https://CRAN.R-project.org/package=ecocbo doi:10.32614/CRAN.package.ecocbo