Man pages for cdeterman/OmicsMarkeR
Classification and Feature Selection for 'Omics' Datasets
| aggregation | Feature Aggregation |
| bagging.wrapper | Bagging Wrapper for Ensemble Features Selection |
| canberra | Canberra Distance |
| canberra_stability | Canberra Stability |
| CLA | Complete Linear Aggregation |
| create.corr.matrix | Correlated Multivariate Data Generator |
| create.discr.matrix | Discriminatory Multivariate Data Generator |
| create.random.matrix | Random Multivariate Data Generator |
| denovo.grid | Denovo Grid Generation |
| EE | Ensemble Exponential Aggregation |
| EM | Ensemble Mean Aggregation |
| ES | Ensemble Stability Aggregation |
| extract.args | Argument extractor |
| extract.features | Feature Extraction |
| feature.table | Feature Consistency Table |
| fit.only.model | Fit Models without Feature Selection |
| fs.ensembl.stability | Ensemble Classification & Feature Selection |
| fs.stability | Classification & Feature Selection |
| jaccard | Jaccard Index |
| kuncheva | Kuncheva's Index |
| modelList | Model List |
| modelTuner | Model Tuner |
| modelTuner_loo | Model Tuner for Leave-One-Out Cross-Validation |
| noise.matrix | Noise Matrix Generator |
| ochiai | Ochiai's Index |
| optimize.model | Model Optimization and Metrics |
| pairwise.model.stability | Pairwise Model Stability Metrics |
| pairwise.stability | Pairwise Stability Metrics |
| params | Model Parameters and Properties |
| perf.calc | Performance Statistics Calculations |
| performance.metrics | Performance Metrics of fs.stability or fs.ensembl.stability... |
| performance.stats | Performance Statistics (Internal for 'perf.calc') |
| perm.class | Monte Carlo Permutation of Model Performance |
| perm.features | Feature Selection via Monte Carlo Permutation |
| pof | Percentage of Overlapping Features |
| predicting | Model Group Prediction |
| prediction.metrics | Prediction Metric Calculations |
| predictNewClasses | Class Prediction |
| RPT | Robustness-Performance Trade-Off |
| sequester | Sequester Additional Parameters |
| sorensen | Dice-Sorensen's Index |
| spearman | Spearman Rank Correlation Coefficient |
| svmrfeFeatureRanking | SVM Recursive Feature Extraction (Binary) |
| svmrfeFeatureRankingForMulticlass | SVM Recursive Feature Extraction (Multiclass) |
| svm.weights | SVM Multiclass Weights Ranking |
| training | Model Training |
| tune.instructions | Model Optimization Instructions |
