Package: CVST
Type: Package
Title: Fast Cross-Validation via Sequential Testing
Version: 0.2-3
Date: 2022-02-19
Depends: kernlab,Matrix
Author: Tammo Krueger, Mikio Braun
Maintainer: Tammo Krueger <tammokrueger@googlemail.com>
Description: 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.
License: GPL (>= 2.0)
NeedsCompilation: no
Packaged: 2026-10-03 09:08:42 UTC; root
Repository: https://cran.r-universe.dev
Date/Publication: 2022-02-21 17:40:02 UTC
RemoteUrl: https://github.com/cran/CVST
RemoteRef: HEAD
RemoteSha: 1be4c2648199047aa8b14f180decb93a5a184ae4