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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 + fileLICENSE
URL:https://github.com/zhuxr11/RcppColMetric
NeedsCompilation:yes
Materials:README,NEWS
CRAN checks:RcppColMetric results

Documentation:

Reference manual:RcppColMetric.html ,RcppColMetric.pdf

Downloads:

Package source: RcppColMetric_0.1.0.tar.gz
Windows binaries: r-devel:RcppColMetric_0.1.0.zip, r-release:RcppColMetric_0.1.0.zip, r-oldrel:RcppColMetric_0.1.0.zip
macOS binaries: r-release (arm64):RcppColMetric_0.1.0.tgz, r-oldrel (arm64):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 formhttps://CRAN.R-project.org/package=RcppColMetricto link to this page.


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