# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "nlcv" in publications use:' type: software license: GPL-3.0-only title: 'nlcv: Nested Loop Cross Validation' version: 0.3.5 doi: 10.32614/CRAN.package.nlcv abstract: '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) .' authors: - family-names: Cougnaud given-names: Laure email: laure.cougnaud@openanalytics.eu - family-names: Talloen given-names: Willem - family-names: Verbeke given-names: Tobias repository: https://lcougnaud.r-universe.dev commit: 6d2e9bddb46f2b506db703fa87c7c8a3048d9862 date-released: '2018-06-29' contact: - family-names: Cougnaud given-names: Laure email: laure.cougnaud@openanalytics.eu