kopls-package | Kernel-based orthogonal projections to latent structures (K-OPLS) |
kopls | Kernel-based orthogonal projections to latent structures (K-OPLS) |
koplsBasicClassify | Classification rule based on a fixed threshold |
koplsCenterKTeTe | Centering function for the test kernel |
koplsCenterKTeTr | Centering function for the hybrid test/training kernel |
koplsCenterKTrTr | Centering function for the training kernel |
koplsConfusionMatrix | Calculation of confusion matrix |
koplsCrossValSet | Generate training/test observations for cross-validation |
koplsCV | K-OPLS cross-validation |
koplsDemo | K-OPLS demonstration procedure |
koplsDummy | Convertion of integer vector to dummy matrix |
koplsKernel | Kernel construction method |
koplsMaxClassify | Classification rule based on the maximum class belonging |
koplsModel | K-OPLS model training |
koplsPlotCVDiagnostics | Overview plot of cross-validation results |
koplsPlotModelDiagnostics | Overview of model training results |
koplsPlotScores | Plots scores from trained K-OPLS models |
koplsPlotSensSpec | Plots sensitivity and specificity results from cross-validation |
koplsPredict | Prediction of new samples from a K-OPLS model |
koplsReDummy | Reconstruct class vector |
koplsRescale | Matrix scaling based on pre-defined parameters |
koplsScale | Matrix scaling function |
koplsScaleApply | Apply matrix scaling |
koplsSensSpec | Sensitivity and specificity calculations for classification |