H2n                     Compute Normalisation Factor
Xij_mat                 Compute X_{ij} Matrix
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
                        Positive-Definite or Not.
corrected_est           Kernel Correction of the Standard Estimator.
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.
hilbert_schmidt         Hilbert-Schmidt Norm Between Estimated
                        Autocovariance Functions.
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 Estimator.
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 Function.
starting_locs           Random Block Locations
taper                   Compute the Function a(x; rho).
tapered_est             Compute the Estimated Tapered Autocovariance
                        Function over a Set of Lags.
to_pacf                 Computes the Standard Estimator of the
                        Autocovariance Function.
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.
