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| autosome.snps | Simulated genetic data |
| classCenter | Prototypes of groups. |
| combine | Combine Ensembles of Trees |
| covariates | Simulated genetic data |
| gender | Simulated genetic data |
| getTree | Extract a single tree from a forest. |
| grow | Add trees to an ensemble |
| grow.default | Add trees to an ensemble |
| grow.snpRF | Add trees to an ensemble |
| importance | Extract variable importance measure |
| importance.default | Extract variable importance measure |
| importance.snpRF | Extract variable importance measure |
| margin | Margins of snpRF Classifier |
| margin.default | Margins of snpRF Classifier |
| margin.snpRF | Margins of snpRF Classifier |
| MDSplot | Multi-dimensional Scaling Plot of Proximity matrix from snpRF |
| na.roughfix | Rough Imputation of Missing Values |
| na.roughfix.data.frame | Rough Imputation of Missing Values |
| na.roughfix.default | Rough Imputation of Missing Values |
| outlier | Compute outlying measures |
| outlier.default | Compute outlying measures |
| outlier.snpRF | Compute outlying measures |
| phenotype | Simulated genetic data |
| plot.margin | Margins of snpRF Classifier |
| plot.snpRF | Plot method for snpRF objects |
| predict.snpRF | predict method for snpRF objects |
| print.snpRF | Classification with Random Forest for SNP Data |
| snpRF | Classification with Random Forest for SNP Data |
| snpRFcv | Random Forest Cross-Valdidation for feature selection |
| snpRFexample | Simulated genetic data |
| snpRFImpute | Missing Value Imputations by snpRF |
| snpRFNews | Show the NEWS file |
| treesize | Size of trees in an ensemble |
| tuneSnpRF | Tune snpRF for the optimal mtry parameter |
| varImpPlot | Variable Importance Plot |
| varUsed | Variables used in a random forest |
| xchrom.snps | Simulated genetic data |
| xchrom.snps.names | Simulated genetic data |