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RobLoxBioC: Infinitesimally Robust Estimators for Preprocessing -Omics Data

Functions for the determination of optimally robust influence curves and estimators for preprocessing omics data, in particular gene expression data (Kohl and Deigner (2010), <doi:10.1186/1471-2105-11-583>).

Version: 1.2.2
Depends: R (≥ 3.4), methods, distr (≥ 2.8.0), affy
Imports: Biobase, BiocGenerics, beadarray, RobLox (≥ 1.1.0), distrMod (≥ 2.8.0), lattice, RColorBrewer, AnnotationDbi
Suggests: affydata, hgu95av2cdf, beadarrayExampleData, illuminaHumanv3.db
Published: 2024-02-11
DOI: 10.32614/CRAN.package.RobLoxBioC
Author: Matthias Kohl [aut, cre, cph]
Maintainer: Matthias Kohl <Matthias.Kohl at stamats.de>
License: LGPL-3
URL: https://r-forge.r-project.org/projects/robast/
NeedsCompilation: no
Citation: RobLoxBioC citation info
Materials: NEWS
In views: Robust
CRAN checks: RobLoxBioC results

Documentation:

Reference manual: RobLoxBioC.pdf

Downloads:

Package source: RobLoxBioC_1.2.2.tar.gz
Windows binaries: r-devel: RobLoxBioC_1.2.2.zip, r-release: RobLoxBioC_1.2.2.zip, r-oldrel: RobLoxBioC_1.2.2.zip
macOS binaries: r-release (arm64): RobLoxBioC_1.2.2.tgz, r-oldrel (arm64): RobLoxBioC_1.2.2.tgz, r-release (x86_64): RobLoxBioC_1.2.2.tgz, r-oldrel (x86_64): RobLoxBioC_1.2.2.tgz
Old sources: RobLoxBioC 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.