Other packages > Find by keyword >

nlcv  

Nested Loop Cross Validation
View on CRAN: Click here


Download and install nlcv package within the R console
Install from CRAN:
install.packages("nlcv")

Install from Github:
library("remotes")
install_github("cran/nlcv")

Install by package version:
library("remotes")
install_version("nlcv", "0.3.6")



Attach the package and use:
library("nlcv")
Maintained by
Laure Cougnaud
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-10-19
Latest Update: 2025-05-06
Description:
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) .
How to cite:
Laure Cougnaud (2017). nlcv: Nested Loop Cross Validation. R package version 0.3.6, https://cran.r-project.org/web/packages/nlcv. Accessed 05 Aug. 2026.
Previous versions and publish date:
(2026-07-09 06:24), 0.3.2 (2017-10-19 19:32), 0.3.3 (2018-05-04 20:19), 0.3.4 (2018-05-18 14:01), 0.3.5 (2018-06-29 23:50)
Other packages that cited nlcv R package
View nlcv citation profile
Other R packages that nlcv depends, imports, suggests or enhances
Complete documentation for nlcv
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

noisyr  
Noise Quantification in High Throughput Sequencing Output
Quantifies and removes technical noise from high-throughput sequencing data. Two approaches are use ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
dhReg  
Dynamic Harmonic Regression
Building and forecasting time series data with multiple seasonality using Dynamic Harmonic Regressio ...
Download / Learn more Package Citations See dependency  
dcov  
A Fast Implementation of Distance Covariance
Efficient methods for computing distance covariance and relevant statistics. See Sz ...
Download / Learn more Package Citations See dependency  
kernelPSI  
Post-Selection Inference for Nonlinear Variable Selection
Different post-selection inference strategies for kernelselection as described in kernelPSI a Post-S ...
Download / Learn more Package Citations See dependency  

28,083

R Packages

239,283

Dependencies

74,457

Author Associations

28,084

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA