Man pages for pmartR/peppuR
| applyCorrelationFilter | Removes features that are clustered by correlation, replacing... |
| applyFeatureSelection | Removes features that are above pvalue threshold |
| applyvarianceFilter | Removes features that have near zero variance |
| as.MLinput | Creates input for ML packages |
| correlationFilter | Removes features that are clustered by correlation, replacing... |
| dataPartitioning | Returns information on how to partition y_data |
| impute_missing | Imputes missing values |
| MLSelection | Applies the MLWrapper to all data sources with all algorithms... |
| MLwrapper | Applies ML algorithms to partitioned data |
| naiveIntegration | Combine probabilities from multiple data sources. |
| pairCorrection | Paired feature correction |
| peppuR_knn | KNN method |
| peppuR_lda | LDA method |
| peppuR_lr | LR method |
| peppuR_nb | Naive Bayes method |
| peppuR_rf | Random Forest method |
| peppuR_svm | SVM method |
| plot-peppuR | plots MLinput, featSelect objects |
| plot-peppuR-featSelect | plot.featSelect Plots an object of class featSelect |
| plot-peppuR-MLinput | Plots an object of class MLInput |
| plot-peppuR-mlSelect | Plots an object of class mlSelect |
| plot.uniFiltRes | Plots an object of class uniFiltRes |
| rofi | Repeated Optimized Feature Integration |
| univariate_feature_selection | Computes features p-values |
| varianceFilter | Applies near Zero Variance function to data or data... |
