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| dprep-package | Data Preprocessing for supervised classification |
| acugow | Gower distance from a vector to a matrix |
| acu_F | Computes the F statistics for each column of the data frame |
| arboleje | Predicting a bank's decision to give a loan for buying a car. |
| arboleje1 | Predicting a bank's decision to give a loan for buying a car. |
| autompg | The Auto MPG dataset |
| baysout | Outlier detection using Bay and Schwabacher's algorithm. |
| breastw | The Breast Wisconsin dataset |
| bupa | The Bupa dataset |
| ce.impute | Imputation in supervised classification |
| ce.mimp | Mean or median imputation |
| census | census |
| chiMerge | Discretization using the Chi-Merge method |
| circledraw | circledraw |
| clean | Dataset's cleaning |
| colon | Alon et al.'s colon dataset |
| combinations | Constructing distinct permutations |
| crossval | Cross validation estimation of the misclassification error |
| crx | crx |
| cv10knn2 | Auxiliary function for sequential feature selection |
| cv10lda2 | Auxiliary function for sequential forward selection |
| cv10log | 10-fold cross validation estimation error for the classifier based on logistic regression |
| cv10mlp | 10-fold cross validation error estimation for the multilayer perceptron classifier |
| cv10rpart2 | Auxiliary function for sequential feature selection |
| cvnaiveBayesd | Crossvalidation estimation error for the naive Bayes classifier. |
| decscale | Decimal Scaling |
| diabetes | The Pima Indian Diabetes dataset |
| disc.1r | Discretization using the Holte's 1R method |
| disc.ef | Discretization using the method of equal frequencies |
| disc.ew | Discretization using the equal width method |
| disc.mentr | Discretization using the minimum entropy criterion |
| disc2 | Auxiliary function for performing discretization using equal frequency |
| discretevar | Performs Minimum Entropy discretization for a given attribute |
| dist.to.knn | Auxiliary function for the LOF algorithm. |
| distancia | Vector-Vector Euclidiean Distance Function |
| distancia1 | Vector-Vector Manhattan Distance Function |
| dprep | Data Preprocessing for supervised classification |
| ec.knnimp | Imputation using k-nearest neighbors. |
| eje1dis | Basic example for discriminant analysis |
| finco | FINCO Feature Selection Algorithm |
| heartc | The Heart Cleveland dataset |
| hepatitis | The hepatitis dataset |
| imagmiss | Visualization of Missing Data |
| inconsist | Computing the inconsistency measure |
| InfoM | Mutual Information Measure |
| ionosphere | The Ionosphere dataset |
| knneigh.vect | Auxiliary function for computing the LOF measure. |
| knngow | K-nn classification using Gower distance |
| landsat | The landsat Satellite dataset |
| lofactor | Local Outlier Factor |
| lvf | Las Vegas Filter |
| mahaout | Multivariate outlier detection through the boxplot of the Mahalanobis distance |
| mardia | The Mardia's test of normality |
| maxlof | Detection of multivariate outliers using the LOF algorithm |
| mexter | External measures for cluster validation |
| midpoints1 | Auxiliary function for computing minimun entropy discretization |
| mmnorm | Min-max normalization |
| mo3 | The third moment of a multivariate distribution |
| mo4 | The fourth moment of a multivariate distribution |
| moda | Calculating the Mode |
| mRMR_cont | Feature selection using the minimun redundancy Maximun Relevance method for continuous attributes |
| mRMR_disc | Feature selection for discrete attributes using the minimum redundancy and Maximum relevance method. |
| near1 | Auxiliary function for the reliefcont function |
| near3 | Auxiliary function for the reliefcat function |
| nnmiss | Auxiliary function for knn imputation |
| outbox | Detecting outliers through boxplots of the features. |
| parallelplot | Parallel Coordinate Plot |
| radviz2d | Radial Coordinate Visualization |
| rangenorm | range normalization |
| reachability | Function for computing the reachability measure in the LOF algortihm |
| redundancy | Finding the unique observations in a dataset along with their fequencies |
| relief | RELIEF Feature Selection |
| reliefcat | Feature selection by the Relief Algorithm for datasets containing nominal features |
| reliefcont | Feature selection by the Relief Algorithm for datasets with only continuous features |
| robout | Outlier Detection with Robust Mahalonobis distance |
| row.matches | Finding rows in a matrix equal to a given vector |
| sbs1 | One-step sequential backward selection |
| score | Score function used in Bay's algorithm for outlier detection |
| sffs | Sequential Floating Forward Method |
| sfs | Sequential Forward Selection |
| sfs1 | One-step sequential forward selection |
| Shuttle | The Shuttle dataset |
| signorm | Sigmoidal Normalization |
| softmaxnorm | Softmax Normalization |
| sonar | The Sonar dataset |
| srbct | Khan et al.'s small round blood cells dataset |
| star3d | Data Visuaization using star coordinates in three dimensions |
| starcoord | The star coordinates plot |
| surveyplot | Surveyplot |
| tchisq | Auxiliary function for the Chi-Merge discretization |
| top | Auxiliary function for Bay's Outlier Detection Algorithm |
| unor | Auxiliary function for performing Holte's 1R discretization |
| vehicle | The Vehicle dataset |
| vvalen | The Van Valen test for equal covariance matrices |
| vvalen1 | Auxiliary function for computing the Van Valen's homocedasticity test |
| znorm | Z-score normalization |