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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) 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:
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https://CRAN.R-project.org/package=ecocbo
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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