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.
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_tau                 Get a Specific tau_{i}.
get_taus                Get all tau.
hilbert_schmidt         Hilbert-Schmidt Norm Between Estimated
                        Autocovariance Functions.
idct_1d                 Compute 1D Inverse Discrete Cosine Transform
kernel                  1D Isotropic Kernels.
kernel_est              Kernel Correction for an Estimated
                        Autocovariance Function.
kernel_symm             1D Isotropic Symmetric Kernels.
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.
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).
taper_single            Compute Taper at a Specified Argument
tapered_est             Compute the Estimated Tapered Autocovariance
                        Function over a Set of Lags.
tapered_single          Computes the Tapered Autocovariance for a
                        Specified Lag.
to_pacf                 Computes the Standard Estimator of the
                        Autocovariance Function.
to_vario                Autocovariance to Semivariogram
truncated_est           Compute the Truncated Kernel Regression
                        Estimator.
window                  1D Window Functions.
window_symm             1D Symmetric Window Functions.
