Man pages for fernandoPalluzzi/tmsClassifier
Random Forest Classifiers for Transcranial Magnetic Stimulation Data
| buildPredictor | Build a RFC and test its performances |
| cross.validation-class | S4 class to represent k-fold cross-validation results. |
| performance | Evaluate classifier performances |
| performance-class | S4 class to represent classifier performances. |
| rmout | Remove outliers using subject-wise Brier scores |
| tmsClassify | TMS Random Forest Classifier (RFC) |
| tms.coef | Default TMS regression coefficients |
| tmsImpute | Missing data imputation |
| tmsRegression | Generate regression parameters from TMS data |
| tms.rfc1 | D-HC Random Forest Classifier (RFC1) |
| tms.rfc2 | FTD-NonFTD Random Forest Classifier (RFC2) |
| tms.rfc3 | AD-DLB Random Forest Classifier (RFC3) |
| vpart | Data partitioning utility |
