Man pages for statKim/robfpca
Functional principal component analysis for partially observed elliptical process
| check_eigen_sign | Change the sign of eigenvectors to target eigenvectors |
| cov_ogk | Robust covariance function esimation for partially observed... |
| cv.cov_ogk | K-fold cross-validation for Bivariate Nadaraya-Watson... |
| dist.mat | 313 spatial locations and their distance matrix from South... |
| funPCA | Functional Principal Component Analysis (FPCA) via... |
| get_corr_eigen | Get True eigenfunction for simulation of the spatially... |
| get_delaigle_cov | Get true covariance function from Delaigle et al.(2021). |
| get_delaigle_eigen | Get True eigenfunction for simulation in Delaigle et... |
| get_eigen | Get eigenanalysis results |
| get_ise | Calculate Intergrated Squared Errors (ISE) |
| get_kraus_eigen | Get True eigenfunction for simulation in Kraus(2015). |
| list2matrix | Convert a list to a matrix |
| list2rbind | Rbind the list containing matrix having same number of... |
| matrix2list | Convert a matrix to a list |
| plot.robfpca.partial | Plot robfpca.partial object |
| predict.funPCA | Reconstruction via functional PCA newdata should be a list... |
| predict.robfpca.partial | Predict FPC scores, reconstruction and completion for a new... |
| print.robfpca.partial | Print a robfpca.partial object |
| robfpca-package | robfpca: Functional principal component analysis for... |
| robfpca.partial | Robust functional principal component analysis for partially... |
| sim_corr | Generate partially observed functional data with spatially... |
| sim_delaigle | Generate partially observed functional data from Delaigle et... |
| sim_kraus | Generate partially observed functional data from Kraus.... |
