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'.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | RcppColMetric_0.1.0.tar.gz |
101.0 KiB |
0.1.0 |
rolling linux/noble R-4.5 | RcppColMetric_0.1.0.tar.gz |
102.6 KiB |
0.1.0 |
rolling source/ R- | RcppColMetric_0.1.0.tar.gz |
12.3 KiB |
0.1.0 |
latest linux/jammy R-4.5 | RcppColMetric_0.1.0.tar.gz |
101.0 KiB |
0.1.0 |
latest linux/noble R-4.5 | RcppColMetric_0.1.0.tar.gz |
102.6 KiB |
0.1.0 |
latest source/ R- | RcppColMetric_0.1.0.tar.gz |
12.3 KiB |
0.1.0 |
2026-04-26 source/ R- | RcppColMetric_0.1.0.tar.gz |
12.3 KiB |
0.1.0 |
2026-04-23 source/ R- | RcppColMetric_0.1.0.tar.gz |
12.3 KiB |
0.1.0 |
2026-04-09 windows/windows R-4.5 | RcppColMetric_0.1.0.zip |
422.3 KiB |
0.1.0 |
2025-04-20 source/ R- | RcppColMetric_0.1.0.tar.gz |
12.3 KiB |