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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 |
| 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 |
| Reference manual: | complmrob.pdf |
| 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 |
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