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Fast Cross-Validation via Sequential Testing

2packages depend
58.6Kdownloads / year
–test coverage
11/13flavors OK

Overview

About

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.

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Tammo Krueger <tammokrueger@googlemail.com>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = "Tammo",
                      family = "Krueger",
                      role = c("aut", "cre"),
                      email = "tammokrueger@googlemail.com"),
               person(given = "Mikio",
                      family = "Braun",
                      role = "aut"))
as necessary.

CRAN check page ↗

Slowest check: 1.9 min · r-oldrel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTENow
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 0.2-3
READMEYes · 24 wordsVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
11includes a package overview page
Examples that run
100%10 run in a plain check
Exported functions with examples
90%
Documented parameters
not tracked
Return-value docs
not tracked
Help pages citing references
82%

Downloads

58.6K
CRAN downloads in the past year
Rank #1,694 · ~161/day · ~4.9K/mo
Daily download trend is not available in this view yet.
4.7K30 days
12.8K90 days
58.6K1 year
Compare downloads with other packages →
Also on934 r2u2 autocran2.1K conda_forge230 c2d4u

Dependencies

Declared dependencies
1 external dependency (excludes base and recommended)

Installing CVST adds 1 package (1 with compiled code, 1.0 MB of source tarballs). Heaviest: kernlab 1.0 MB.

Depends (2)
kernlabMatrix
Imports (0)
none
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
2direct
1indirect
Depends 1 · Imports 1
Depends, Imports or LinkingTo, most downloaded first

People & History

People (from the free-text Author field) (2)

Maintainer since 0.1 (2012)

Releases (5)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • 0.2-3Latest
    record
    2022-02-21 · current release · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • 0.2-2
    record
    2018-05-27 · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • R
    R 3.3.0 released · 2016-05-03
  • R
    R 3.2.0 released · 2015-04-16
  • R
    R 3.1.0 released · 2014-04-10
  • 0.2-1
    record
    2013-12-10 · diff ↗
Show 4 earlier eventsHide 4 earlier events
  • 0.2
    record
    2013-04-16 · diff ↗
  • R
    R 3.0.0 released · 2013-04-03
  • 0.1
    record
    2012-11-09
  • R
    R 2.15.0 released · 2012-03-30

Package metadata

First published
2012-11-09
Total releases
5 / 14 yrs
License
GPL (>= 2.0)
Download size
21 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("CVST")

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for CVST version 0.2-3 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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