Package: RcppColMetric 0.1.0
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'.
Authors:
RcppColMetric_0.1.0.tar.gz
RcppColMetric_0.1.0.zip(r-4.7)RcppColMetric_0.1.0.zip(r-4.6)RcppColMetric_0.1.0.zip(r-4.5)
RcppColMetric_0.1.0.tgz(r-4.6-x86_64)RcppColMetric_0.1.0.tgz(r-4.6-arm64)RcppColMetric_0.1.0.tgz(r-4.5-x86_64)RcppColMetric_0.1.0.tgz(r-4.5-arm64)
RcppColMetric_0.1.0.tar.gz(r-4.7-arm64)RcppColMetric_0.1.0.tar.gz(r-4.7-x86_64)RcppColMetric_0.1.0.tar.gz(r-4.6-arm64)RcppColMetric_0.1.0.tar.gz(r-4.6-x86_64)
RcppColMetric_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
RcppColMetric/json (API)
NEWS
| # Install 'RcppColMetric' in R: |
| install.packages('RcppColMetric', repos = c('https://zhuxr11.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/zhuxr11/rcppcolmetric/issues
Last updated from:da07c00282. Checks:13 OK. Indexed: yes.
A new build is currently in progress.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 116 | ||
| linux-devel-x86_64 | OK | 109 | ||
| source / vignettes | OK | 129 | ||
| linux-release-arm64 | OK | 111 | ||
| linux-release-x86_64 | OK | 135 | ||
| macos-release-arm64 | OK | 74 | ||
| macos-release-x86_64 | OK | 169 | ||
| macos-oldrel-arm64 | OK | 93 | ||
| macos-oldrel-x86_64 | OK | 172 | ||
| windows-devel | OK | 93 | ||
| windows-release | OK | 114 | ||
| windows-oldrel | OK | 119 | ||
| wasm-release | OK | 101 |
Exports:col_auccol_auc_veccol_mut_infocol_mut_info_vec
Dependencies:Rcpp
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Column-wise area under ROC curve (AUC) | col_auc |
| Vectorized version of function col_auc | col_auc_vec |
| Column-wise mutual information | col_mut_info |
| Vectorized version of function col_mut_info | col_mut_info_vec |
