Man pages for DarioS/ClassifyR
A framework for cross-validated classification problems, with applications to differential variability and differential distribution testing
| asthma | Asthma RNA Abundance and Patient Classes |
| available | List Available Feature Selection and Classification... |
| calcPerformance | Add Performance Calculations to a ClassifyResult Object or... |
| ClassifyResult-class | Container for Storing Classification Results |
| colCoxTests | A function to perform fast or standard Cox proportional... |
| crissCrossPlot | A function to plot the output of the crissCrossValidate... |
| crissCrossValidate | A function to perform pairwise cross validation |
| crossValidate | Cross-validation to evaluate classification performance. |
| CrossValParams-class | Parameters for Cross-validation Specification |
| distribution | Get Frequencies of Feature Selection or Sample-wise... |
| edgesToHubNetworks | Convert a Two-column Matrix or Data Frame into a Hub Node... |
| FeatureSetCollection | Container for Storing A Collection of Sets |
| featureSetSummary | Transform a Table of Feature Abundances into a Table of... |
| HuRI | Human Reference Interactome |
| interactorDifferences | Convert Individual Features into Differences Between Binary... |
| METABRICclinical | METABRIC Clinical Data |
| ModellingParams-class | Parameters for Data Modelling Specification |
| performancePlot | Plot Performance Measures for Various Classifications |
| plotFeatureClasses | Plot Density, Scatterplot, Parallel Plot or Bar Chart for... |
| precisionPathways | Precision Pathways for Sample Prediction Based on Prediction... |
| precisionPathwaysEvaluations | Various Functions for Evaluating Precision Pathways |
| PredictParams-class | Parameters for Classifier Prediction |
| prepareData | Convert Different Data Classes into DataFrame and Filter... |
| rankingPlot | Plot Pair-wise Overlap of Ranked Features |
| ROCplot | Plot Receiver Operating Curve Graphs for Classification... |
| runTest | Perform a Single Classification |
| runTests | Reproducibly Run Various Kinds of Cross-Validation |
| samplesMetricMap | Plot a Grid of Sample-wise Predictive Metrics |
| samplesSplitting | Split Sample Indexes into Training and Test Partitions for... |
| selectionPlot | Plot Pair-wise Overlap, Variable Importance or Selection Size... |
| SelectParams-class | Parameters for Feature Selection |
| TrainParams-class | Parameters for Classifier Training |
| TransformParams-class | Parameters for Data Transformation |
