Man pages for CovEsts
Nonparametric Estimators for Covariance Functions
| adjusted_est | Compute the Kernel Regression Estimator. |
| adjusted_spline | Compute Adjusted Splines. |
| area_between | Area Between Estimated Autocovariance Functions. |
| as.double.CovEsts | as.double Method for CovEsts Objects |
| block_bootstrap | Block Bootstrap |
| bootstrap_sample | Block Bootstrap Sample |
| check_pd | Check if an Autocovariance Function Estimate is... |
| corrected_est | Kernel Correction of the Standard Estimator. |
| CovEsts-deprecated | Deprecated functions in package 'CovEsts'. |
| cyclic_matrix | Create a Cyclic Matrix for a Given Vector. |
| dct_1d | Compute 1D Discrete Cosine Transform |
| generate_knots | Generate Spline Knots. |
| get_taus | Get all tau. |
| H2n | Compute Normalisation Factor |
| hilbert_schmidt | Hilbert-Schmidt Norm Between Estimated Autocovariance... |
| idct_1d | Compute 1D Inverse Discrete Cosine Transform |
| kernel_ec | 1D Isotropic Kernels. |
| kernel_est | Kernel Correction for an Estimated Autocovariance Function. |
| kernel_symm_ec | 1D Isotropic Symmetric Kernels. |
| lines.BootEsts | Lines Method for BootEsts Objects |
| lines.CovEsts | Lines Method for CovEsts Objects |
| lines.VarioEsts | Lines Method for VarioEsts Objects |
| make_pd | Make a Function Positive-Definite |
| max_distance | Maximum Vertical Distance Between Estimated Functions. |
| mse | MSE Between Estimated Autocovariance Functions. |
| nearest_pd | Compute the Nearest Positive-Definite Matrix. |
| normalise_acf | Normalise a CovEsts Object |
| plot.BootEsts | Plot Method for BootEsts Objects |
| plot.CovEsts | Plot Method for CovEsts Objects |
| plot.VarioEsts | Plot Method for VarioEsts Objects |
| print.BootEsts | Print Method for BootEsts Objects |
| print.CovEsts | Print Method for CovEsts Objects |
| print.VarioEsts | Print Method for VarioEsts Objects |
| rho_T1 | Compute rho(T_{1}) used in the Truncated Kernel Regression... |
| shrinking | Linear Shrinking |
| solve_shrinking | Solve Linear Shrinking |
| solve_spline | Objective Function for WLS. |
| spectral_norm | Compute the Spectral Norm Between Estimated Functions. |
| splines_df | Construct Data Frame of Basis Functions. |
| splines_est | Compute the Splines Estimator. |
| standard_est | Computes the Standard Estimator of the Autocovariance... |
| starting_locs | Random Block Locations |
| taper | Compute the Function a(x; rho). |
| tapered_est | Compute the Estimated Tapered Autocovariance Function over a... |
| to_pacf | Computes the Standard Estimator of the Autocovariance... |
| to_vario | Autocovariance to Semivariogram |
| truncated_est | Compute the Truncated Kernel Regression Estimator. |
| window_ec | 1D Window Functions. |
| window_symm_ec | 1D Symmetric Window Functions. |
| Xij_mat | Compute X_{ij} Matrix |
