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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,
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.
| Version: |
0.10.2 |
| Depends: |
R (≥ 2.10) |
| Imports: |
ggplot2, ggpubr, sampling, stats, foreach, parallel, doParallel, vegan |
| Suggests: |
knitr, rmarkdown, testthat (≥ 3.0.0), SSP |
| Published: |
2023-08-18 |
| 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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