CVST
Fast Cross-Validation via Sequential Testing
The fast cross-validation via sequential testing (CVST) procedure is an improved cross-validation procedure which uses non-parametric testing coupled with sequential analysis to determine the best parameter set on linearly increasing subsets of the data. By eliminating under-performing candidates quickly and keeping promising candidates as long as possible, the method speeds up the computation while preserving the capability of a full cross-validation. Additionally to the CVST the package contains an implementation of the ordinary k-fold cross-validation with a flexible and powerful set of helper objects and methods to handle the overall model selection process. The implementations of the Cochran's Q test with permutations and the sequential testing framework of Wald are generic and can therefore also be used in other contexts.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.2-3 |
rolling linux/jammy R-4.5 | CVST_0.2-3.tar.gz |
83.8 KiB |
0.2-3 |
rolling linux/noble R-4.5 | CVST_0.2-3.tar.gz |
83.7 KiB |
0.2-3 |
rolling source/ R- | CVST_0.2-3.tar.gz |
21.7 KiB |
0.2-3 |
latest linux/jammy R-4.5 | CVST_0.2-3.tar.gz |
83.8 KiB |
0.2-3 |
latest linux/noble R-4.5 | CVST_0.2-3.tar.gz |
83.7 KiB |
0.2-3 |
latest source/ R- | CVST_0.2-3.tar.gz |
21.7 KiB |
0.2-3 |
2026-04-26 source/ R- | CVST_0.2-3.tar.gz |
21.7 KiB |
0.2-3 |
2026-04-23 source/ R- | CVST_0.2-3.tar.gz |
21.7 KiB |
0.2-3 |
2026-04-09 windows/windows R-4.5 | CVST_0.2-3.zip |
85.9 KiB |
0.2-3 |
2025-04-20 source/ R- | CVST_0.2-3.tar.gz |
21.7 KiB |