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年03月13日
Author: Xiurui Zhu [aut, cre]
Maintainer: Xiurui Zhu <zxr6 at 163.com>
License: MIT + file LICENSE
NeedsCompilation: yes
Materials: README, NEWS
CRAN checks: RcppColMetric results

Documentation:

Downloads:

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

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