CRAN/E | ecocbo

ecocbo

Calculating Optimum Sampling Effort in Community Ecology

Installation

About

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.

Key Metrics

Version 0.10.2
R ≥ 2.10
Published 2023-08-18 258 days ago
Needs compilation? no
License GPL (≥ 3)
CRAN checks ecocbo results

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Maintainer

Maintainer

Arturo Sanchez-Porras

sp.arturo@gmail.com

Authors

Edlin Guerra-Castro

aut / cph

Arturo Sanchez-Porras

aut / cre

Material

README
NEWS
Reference manual
Package source

Vignettes

ecocbo-guide

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-develnot available

x86_64

r-releasenot available

x86_64

r-oldrelnot available

x86_64

Depends

R ≥ 2.10

Imports

ggplot2
ggpubr
sampling
stats
foreach
parallel
doParallel
vegan

Suggests

knitr
rmarkdown
testthat ≥ 3.0.0
SSP