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Provides robust statistical methods for analyzing numeric data, including robust estimation of location and scale using Huber M-estimators and a robust two-sample t-test. Methods are based on Huber (1981, ISBN:0471418056) "Robust Statistics" and Smyth (2004) <doi:10.2202/1544-6115.1027>.
| Version: | 0.1.0 |
| Imports: | limma, stats |
| Published: | 2026-06-03 |
| DOI: | 10.32614/CRAN.package.robusttseq |
| Author: | Nair Gonzalez Sotomayor [aut, cre], Aquiles Enrique Darghan Contreras [aut] |
| Maintainer: | Nair Gonzalez Sotomayor <njgonzalezs at unal.edu.co> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| CRAN checks: | robusttseq results |
| Reference manual: | robusttseq.html , robusttseq.pdf |
| Package source: | robusttseq_0.1.0.tar.gz |
| Windows binaries: | r-devel: robusttseq_0.1.0.zip, r-release: robusttseq_0.1.0.zip, r-oldrel: robusttseq_0.1.0.zip |
| macOS binaries: | r-release (arm64): robusttseq_0.1.0.tgz, r-oldrel (arm64): robusttseq_0.1.0.tgz, r-release (x86_64): robusttseq_0.1.0.tgz, r-oldrel (x86_64): robusttseq_0.1.0.tgz |
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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.