Package: nlcv Type: Package Title: Nested Loop Cross Validation Version: 0.3.6 Date: 2025-05-06 Authors@R: c( person(given = "Willem", family = "Talloen", role = "aut"), person(given = "Tobias", family = "Verbeke", role = "aut"), person(given = "Laure", family = "Cougnaud", role = "cre", email = "laure.cougnaud@openanalytics.eu")) 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) . Depends: R (>= 2.10), a4Core, MLInterfaces (>= 1.22.0), xtable Imports: limma, MASS, methods, graphics, Biobase, multtest, RColorBrewer, pamr, randomForest, ROCR, ipred, e1071, kernlab Suggests: RUnit, ALL License: GPL-3 RoxygenNote: 7.3.2 NeedsCompilation: no Packaged: 2026-07-04 00:34:18 UTC; root Author: Willem Talloen [aut], Tobias Verbeke [aut], Laure Cougnaud [cre] Maintainer: Laure Cougnaud Config/pak/sysreqs: cmake libglpk-dev make libpng-dev libuv1-dev libxml2-dev libssl-dev zlib1g-dev Repository: https://lcougnaud.r-universe.dev Date/Publication: 2025-05-06 21:32:16 UTC RemoteUrl: https://github.com/cran/nlcv RemoteRef: HEAD RemoteSha: 69e2a74ee450ae423652b46aaec2587f9d586fdd