pcev
Principal Component of Explained Variance
Principal component of explained variance (PCEV) is a statistical tool for the analysis of a multivariate response vector. It is a dimension- reduction technique, similar to Principal component analysis (PCA), that seeks to maximize the proportion of variance (in the response vector) being explained by a set of covariates.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2.2.2 |
rolling linux/jammy R-4.5 | pcev_2.2.2.tar.gz |
632.0 KiB |
2.2.2 |
rolling linux/noble R-4.5 | pcev_2.2.2.tar.gz |
632.0 KiB |
2.2.2 |
rolling source/ R- | pcev_2.2.2.tar.gz |
494.0 KiB |
2.2.2 |
latest linux/jammy R-4.5 | pcev_2.2.2.tar.gz |
632.0 KiB |
2.2.2 |
latest linux/noble R-4.5 | pcev_2.2.2.tar.gz |
632.0 KiB |
2.2.2 |
latest source/ R- | pcev_2.2.2.tar.gz |
494.0 KiB |
2.2.2 |
2026-04-26 source/ R- | pcev_2.2.2.tar.gz |
494.0 KiB |
2.2.2 |
2026-04-23 source/ R- | pcev_2.2.2.tar.gz |
494.0 KiB |
2.2.2 |
2026-04-09 windows/windows R-4.5 | pcev_2.2.2.zip |
635.0 KiB |
2.2.2 |
2025-04-20 source/ R- | pcev_2.2.2.tar.gz |
494.0 KiB |