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Estimates power by simulation for multivariate abundance data to be used for sample size estimates. Multivariate equivalence testing by simulation from a Gaussian copula model. The package also provides functions for parameterising multivariate effect sizes and simulating multivariate abundance data jointly. The discrete Gaussian copula approach is described in Popovic et al. (2018) <doi:10.1016/j.jmva.2017.12.002>.
Version: | 0.2.0 |
Depends: | R (≥ 3.5.0) |
Imports: | parallel, mvabund, ecoCopula, stats |
Suggests: | knitr, rmarkdown, testthat, ggplot2, RColorBrewer |
Published: | 2023-08-24 |
DOI: | 10.32614/CRAN.package.ecopower |
Author: | Ben Maslen [aut], Michelle Lim [aut, cre] |
Maintainer: | Michelle Lim <michelle.lim at unsw.edu.au> |
License: | LGPL-2.1 | LGPL-3 [expanded from: LGPL (≥ 2.1)] |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | ecopower results |
Reference manual: | ecopower.pdf |
Vignettes: |
Sample size analysis example |
Package source: | ecopower_0.2.0.tar.gz |
Windows binaries: | r-devel: ecopower_0.2.0.zip, r-release: ecopower_0.2.0.zip, r-oldrel: ecopower_0.2.0.zip |
macOS binaries: | r-release (arm64): ecopower_0.2.0.tgz, r-oldrel (arm64): ecopower_0.2.0.tgz, r-release (x86_64): ecopower_0.2.0.tgz, r-oldrel (x86_64): ecopower_0.2.0.tgz |
Old sources: | ecopower archive |
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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.