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Nested Loop Cross Validation

0packages depend
6Kdownloads / year
–test coverage
12/13flavors OK

Overview

About

Nested loop cross validation for classification purposes for misclassification error rate estimation. The package supports several methodologies for feature selection: random forest, Student t-test, limma, and provides an interface to the following classification methods in the 'MLInterfaces' package: linear, quadratic discriminant analyses, random forest, bagging, prediction analysis for microarray, generalized linear model, support vector machine (svm and ksvm). Visualizations to assess the quality of the classifier are included: plot of the ranks of the features, scores plot for a specific classification algorithm and number of features, misclassification rate for the different number of features and classification algorithms tested and ROC plot. For further details about the methodology, please check: Markus Ruschhaupt, Wolfgang Huber, Annemarie Poustka, and Ulrich Mansmann (2004) doi:10.2202/1544-6115.1078.

Changes in 0.3.6
  • DESCRIPTION file: use Authors@R
  • doc:
  • remove description-like items
  • add link missing packages
  • limmaTwoGroups: update link article to DOI
  • data: add data() in usage
  • class -> inherits

From inst/NEWS in the release

Install

Health

CRAN checks
1ERROR12OK
Check messages
ERRORpackage dependenciesr-oldrel-macos-x86_64
Package required but not available: ‘MLInterfaces’

See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’
manual.

CRAN check page ↗

Slowest check: 9.3 min · r-oldrel-windows-x86_64
Status changes
  • ERROR12 OK, 1 ERRORNow
  • ERROR13 OK, 1 ERROR2026-03-10
Advisories

none known

Documentation

In release 0.3.6
READMENoVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 0.3.6Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
32
Examples that run
100%7 run in a plain check
Exported functions with examples
44%
Documented parameters
99%
Return-value docs
78%
Help pages citing references
3%
Vignettes (1)

Downloads

6K
CRAN downloads in the past year
Rank #8,943 · ~16/day · ~500/mo
Daily download trend is not available in this view yet.
37030 days
1.1K90 days
6K1 year
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Also on294 r2u

Dependencies

Declared dependencies
15 external dependencies (excludes base and recommended)

Installing nlcv adds 44 packages (20 with compiled code, 34 MB of source tarballs). Heaviest: ggplot2 6.0 MB, data.table 5.7 MB, gplots 4.6 MB. 5 more not on CRAN are not measured.

Depends (4)
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (3)
Maintainer · added in 0.3.6

Maintainer since 0.3.2 (2017)

Releases (5)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.3.6Latest
    record
    2025-05-06 · current release · diff ↗
  • 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
  • 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
  • 0.3.5
    record
    2018-06-29 · diff ↗
  • 0.3.4
    record
    2018-05-18 · diff ↗
  • 0.3.3
    record
    2018-05-04 · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
  • 0.3.2
    record
    2017-10-19
  • R
    R 3.4.0 released · 2017-04-21

Package metadata

First published
2017-10-19
Total releases
5 / 9 yrs
License
GPL-3 OSI
Minimum R
≥ 2.10
Bundled data
1.1 MB / 11 files
Download size
1.5 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("nlcv")
Cougnaud, L., Talloen, W., & Verbeke, T. (2025). nlcv: Nested Loop Cross Validation (Version 0.3.6) [Computer software]. https://doi.org/10.32614/CRAN.package.nlcv

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 nlcv version 0.3.6 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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