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RcppColMetric: Efficient Column-Wise Metric Computation Against Common Vector

In data science, it is a common practice to compute a series of columns (e.g. features) against a common response vector. Various metrics are provided with efficient computation implemented with 'Rcpp'.

Version: 0.1.0
Imports: Rcpp
LinkingTo: Rcpp
Suggests: caTools, infotheo, magrittr, MASS, microbenchmark, testthat (≥ 3.0.0)
Published: 2025-03-13
DOI: 10.32614/CRAN.package.RcppColMetric
Author: Xiurui Zhu [aut, cre]
Maintainer: Xiurui Zhu <zxr6 at 163.com>
BugReports: https://github.com/zhuxr11/RcppColMetric/issues
License: MIT + file LICENSE
URL: https://github.com/zhuxr11/RcppColMetric
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: RcppColMetric results

Documentation:

Reference manual: RcppColMetric.pdf

Downloads:

Package source: RcppColMetric_0.1.0.tar.gz
Windows binaries: r-devel: RcppColMetric_0.1.0.zip, r-release: not available, r-oldrel: RcppColMetric_0.1.0.zip
macOS binaries: r-devel (arm64): RcppColMetric_0.1.0.tgz, r-release (arm64): RcppColMetric_0.1.0.tgz, r-oldrel (arm64): RcppColMetric_0.1.0.tgz, r-devel (x86_64): RcppColMetric_0.1.0.tgz, r-release (x86_64): RcppColMetric_0.1.0.tgz, r-oldrel (x86_64): RcppColMetric_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=RcppColMetric to link to this page.

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.