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ecocbo  

Calculating Optimum Sampling Effort in Community Ecology
View on CRAN: Click here


Download and install ecocbo package within the R console
Install from CRAN:
install.packages("ecocbo")

Install from Github:
library("remotes")
install_github("cran/ecocbo")

Install by package version:
library("remotes")
install_version("ecocbo", "1.0.0")



Attach the package and use:
library("ecocbo")
Maintained by
Arturo Sanchez-Porras
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-08-18
Latest Update: 2024-08-21
Description:
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.
How to cite:
Arturo Sanchez-Porras (2023). ecocbo: Calculating Optimum Sampling Effort in Community Ecology. R package version 1.0.0, https://cran.r-project.org/web/packages/ecocbo. Accessed 05 Jun. 2026.
Previous versions and publish date:
0.10.2 (2023-08-18 08:32), 0.12.0 (2024-08-21 10:00), 0.13.0 (2025-08-23 18:50)
Other packages that cited ecocbo R package
View ecocbo citation profile
Other R packages that ecocbo depends, imports, suggests or enhances
Complete documentation for ecocbo
Functions, R codes and Examples using the ecocbo R package
Some associated functions: balanced_sampling . ecocbo-package . epiBetaR . epiDat . permanova_oneway . plot_power . prints . scompvar . simH0Dat . simHaDat . sim_beta . sim_cbo . 
Some associated R codes: plot_power.R . scompvar.R . sim_beta.R . sim_cbo.R . utils.R .  Full ecocbo package functions and examples
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