RECA: Relevant Component Analysis for Supervised Distance Metric Learning

Relevant Component Analysis (RCA) tries to find a linear transformation of the feature space such that the effect of irrelevant variability is reduced in the transformed space.

Version: 1.7.1
Suggests: MASS
Published: 2025-07-28
DOI: 10.32614/CRAN.package.RECA
Author: Nan Xiao ORCID iD [aut, cre, cph]
Maintainer: Nan Xiao <me at nanx.me>
BugReports: https://github.com/nanxstats/RECA/issues
License: GPL (≥ 3)
URL: https://nanx.me/RECA/, https://github.com/nanxstats/RECA
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: RECA results

Documentation:

Reference manual: RECA.html , RECA.pdf

Downloads:

Package source: RECA_1.7.1.tar.gz
Windows binaries: r-devel: RECA_1.7.1.zip, r-release: RECA_1.7.1.zip, r-oldrel: RECA_1.7.1.zip
macOS binaries: r-release (arm64): RECA_1.7.1.tgz, r-oldrel (arm64): RECA_1.7.1.tgz, r-release (x86_64): RECA_1.7.1.tgz, r-oldrel (x86_64): RECA_1.7.1.tgz
Old sources: RECA archive

Linking:

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