• bootstrap

• Referenced in 715 articles [sw19105]
• Introduction to the Bootstrap”. Software (bootstrap, cross-validation, jackknife) and data for the book...

• spatstat

• Referenced in 52 articles [sw04429]
• smoothed intensity, relative risk estimation with cross-validated bandwidth selection, mark correlation functions, segregation indices...

• Cohn-Kanade

• Referenced in 43 articles [sw04974]
• sequence is fully FACS coded. In addition validated emotion labels have been added ... classifier with leave-one-out subject cross-validation was used. Both sets of results...

• Cell-PLoc

• Referenced in 24 articles [sw09126]
• demonstrated by a series of cross-validation tests on the benchmark data sets that covered...

• N-way Toolbox

• Referenced in 19 articles [sw12996]
• multi-way scaling and centering; Performing cross-validation of models; Calculating core consistency of PARAFAC...

• bnlearn

• Referenced in 18 articles [sw08265]
• inference, conditional probability queries and cross-validation. Development snapshots with the latest bugfixes are available...

• penalized

• Referenced in 9 articles [sw06071]
• fold and leave-one-out cross-validation for ridge regression In model building and model ... evaluation, cross-validation is a frequently used resampling method. Unfortunately, this method can be quite ... full model. In this way, all cross-validated estimates are approximated without refitting the model ... accurate when approximating leave-one-out cross-validation results for large data sets which...

• RegEM

• Referenced in 9 articles [sw04943]
• parameter) and ridge regression with generalized cross-validation as regularized estimation methods. The implementation ... parameters (e.g., ridge regression and generalized cross-validation) can be exchanged for other regularization methods ... algorithm. The generalized cross-validation modules of the regularized EM algorithm are adapted from Hansen ... generalized cross-validation modules. In the Matlab implementation of the regularized EM algorithm, more emphasis...

• ROCR

• Referenced in 14 articles [sw04551]
• standard interface). Curves from different cross-validation or bootstrapping runs can be averaged by different...

• frailtypack

• Referenced in 12 articles [sw06070]
• parameter is possible using an approximated cross-validation procedure. 2) Additive frailty models for proportional...

• iNuc-PseKNC

• Referenced in 12 articles [sw16607]
• observed by the rigorous cross-validation tests on the three stringent benchmark datasets that...

• SURROGATES

• Referenced in 10 articles [sw07575]
• leave-one-out and k-fold cross-validation, and classical error analysis (coefficient of determination...

• abc

• Referenced in 9 articles [sw14871]
• model selection, and goodness-of-fit. Cross-validation tools are also available for measuring...

• mlr

• Referenced in 9 articles [sw12357]
• cost-sensitive learning. Generic resampling, including cross-validation, bootstrapping and subsampling. Hyperparameter tuning with modern...

• SVM Toolbox

• Referenced in 9 articles [sw14742]
• leave-one-out cross-validation error). Object oriented design, currently this just means that...

• CUBGCV

• Referenced in 8 articles [sw04346]
• fast procedure for calculating minimum cross-validation cubic smoothing splines The procedure CUBGCV...

• GAKREM

• Referenced in 8 articles [sw02712]
• means algorithm, and the likelihood cross-validation technique on several datasets...

• tree

• Referenced in 6 articles [sw11163]
• regression trees. Runs a K-fold cross-validation experiment to find the deviance or number...

• Nuc-ploc

• Referenced in 6 articles [sw16471]
• amino acid composition. The overall jackknife cross-validation accuracy obtained by Nuc-PLoc is significantly...

• WilcoxCV

• Referenced in 3 articles [sw08147]
• WilcoxCV: Wilcoxon-based variable selection in cross-validation. This package provides functions to perform fast ... Wilcoxon rank sum test in the cross-validation or Monte-Carlo cross-validation settings...