Man pages for SpatPCA
Regularized Principal Component Analysis for Spatial Data
| checkInputData | Internal function: Validate input data for a spatpca object |
| checkNewLocationsForSpatpcaObject | Internal function: Validate new locations for a spatpca... |
| detrend | Internal function: Detrend Y by column-wise centering |
| eigenFunction | Interpolated Eigen-function |
| fetchUpperBoundNumberEigenfunctions | Internal function: Fetch the upper bound of the number of... |
| plot.spatpca | Display the cross-validation results |
| predict | Spatial predictions on new locations |
| predictEigenfunction | Spatial dominant patterns on new locations |
| scaleLocation | Internal function: Scale one-dimension locations |
| setCores | Internal helper: validate requested core count |
| setGamma | Internal function: Set tuning parameter - gamma |
| setL2 | Internal function: Set tuning parameter - l2 |
| setNumberEigenfunctions | Internal function: Set the number of eigenfunctions for a... |
| setTau1 | Internal function: Set tuning parameter - tau1 |
| setTau2 | Internal function: Set tuning parameter - tau2 |
| spatialPrediction | Internal function: Spatial prediction |
| spatpca | Regularized PCA for spatial data |
| spatpcaCV | Internal function: M-fold Cross-validation |
| spatpcaCVWithSelectedK | Internal function: M-fold CV of SpatPCA with selected K |
| SpatPCA-package | Regularized Principal Component Analysis for Spatial Data |
| thinPlateSplineMatrix | Thin-plane spline matrix |
