rrscale: Robust Re-Scaling to Better Recover Latent Effects in Data

Non-linear transformations of data to better discover latent effects. Applies a sequence of three transformations (1) a Gaussianizing transformation, (2) a Z-score transformation, and (3) an outlier removal transformation.

Version: 0.1.3
Depends: R (≥ 3.4.0)
Imports: foreach, parallel, doParallel, DEoptim, abind
Suggests: knitr, rmarkdown, testthat, ggplot2, reshape2
Published: 2019-03-13
Author: Gregory Hunt [aut, cre]
Maintainer: Gregory Hunt <ghunt at wm.edu>
License: GPL-3
NeedsCompilation: no
CRAN checks: rrscale results

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Reference manual: rrscale.pdf
Vignettes: Vignette Title
Package source: rrscale_0.1.3.tar.gz
Windows binaries: r-devel: rrscale_0.1.3.zip, r-release: rrscale_0.1.3.zip, r-oldrel: rrscale_0.1.3.zip
OS X binaries: r-release: rrscale_0.1.3.tgz, r-oldrel: rrscale_0.1.3.tgz

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