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 |