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complmrob: Robust Linear Regression with Compositional Data as Covariates

Robust regression methods for compositional data. The distribution of the estimates can be approximated with various bootstrap methods. These bootstrap methods are available for the compositional as well as for standard robust regression estimates. This allows for direct comparison between them.

Version: 0.7.0
Imports: robustbase, ggplot2, boot, parallel, scales
Published: 2019-09-17
DOI: 10.32614/CRAN.package.complmrob
Author: David Kepplinger
Maintainer: David Kepplinger <david.kepplinger at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/dakep/complmrob
NeedsCompilation: no
Materials: ChangeLog
In views: Robust
CRAN checks: complmrob results

Documentation:

Reference manual: complmrob.pdf

Downloads:

Package source: complmrob_0.7.0.tar.gz
Windows binaries: r-devel: complmrob_0.7.0.zip, r-release: complmrob_0.7.0.zip, r-oldrel: complmrob_0.7.0.zip
macOS binaries: r-release (arm64): complmrob_0.7.0.tgz, r-oldrel (arm64): complmrob_0.7.0.tgz, r-release (x86_64): complmrob_0.7.0.tgz, r-oldrel (x86_64): complmrob_0.7.0.tgz
Old sources: complmrob archive

Linking:

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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.