Man pages for gmwmx2
Estimate Functional and Stochastic Parameters of Linear Models with Correlated Residuals and Missing Data
| ar1 | AR(1) process ('time_series_model') |
| as_model_list | Coerce to a list of models |
| df_estimated_velocities_gmwmx | Estimated northward and eastward velocity and their standard... |
| dot-comp_prefix | Component name prefix for summed models |
| dot-gmwmx2_get_plot_colors | Get plot colors for generated time series |
| download_all_stations_ngl | Download all stations name and location from the Nevada... |
| download_estimated_velocities_ngl | Download estimated velocities using the MIDAS estimator... |
| download_station_ngl | Download GNSS position time series and steps reference from... |
| fill_missing_parameters | Fill missing model parameters using initial-parameter... |
| flicker | Flicker noise process ('time_series_model') |
| format_model_text | Format model text |
| format_params | Format parameter display |
| generate | Generate a time series from a 'time_series_model' or... |
| get_autocovariance | Compute autocovariance for a model (internal) |
| get_theoretical_wv | Theoretical wavelet variance from model parameters |
| get_variance_covariance_matrix_model | Variance-covariance matrix implied by a model |
| gmwm2 | GMWM estimator |
| gmwmx2 | GMWMX estimator |
| gmwmx2_new_no_missing | GMWMX estimator |
| gmwmx2_new_with_missing | GMWMX estimator with missing |
| gmwmx2_plot_colors | Plot colors for generated time series |
| inv_trans_alpha_matern | Inverse transform for Matérn alpha |
| inv_trans_from_real_to_minus_1_and_1 | Inverse transform for power-law kappa |
| loss_fn_gmwm | Loss function for GMWM optimization (internal) |
| loss_fn_gmwmx_no_missing | Loss function for GMWMX without missing value |
| loss_fn_gmwmx_with_missing | Loss function for GMWMX with missing value |
| Ma | Matern autocovariance |
| markov_two_states | Markov two-state missingness model ('missingness_model') |
| matern | Matern process ('time_series_model') |
| pl | Stationary Power-Law process ('time_series_model') |
| plot.generated_composite_model_time_series | Plot a 'generated_composite_model_time_series' object |
| plot.generated_missingness | Plot a 'generated_missingness' object |
| plot.generated_time_series | Plot a 'generated_time_series' object |
| plot.gmwm2_fit | Plot method for a 'gmwm2_fit' object |
| plot.gmwmx2_fit_gnss_ts_ngl | Plot a 'gmwmx2_fit_gnss_ts_ngl' object |
| plot.gnss_ts_ngl | Plot a 'gnss_ts_ngl' object |
| plus-.sum_model | Add to a 'sum_model' object |
| plus-.time_series_model | Add to a 'time_series_model' object |
| prepare_optim_layout | Prepare optimization layout for a model |
| print.gmwm2_fit | Print method for a 'gmwm2_fit' object |
| print.gmwmx2_fit | Print method for a 'gmwmx2_fit' object |
| print.gmwmx2_fit_gnss_ts_ngl | Print method for a 'gmwmx2_fit_gnss_ts_ngl' object |
| rw | Random walk process ('time_series_model') |
| sum_model | Sum of stochastic models (internal) |
| theta_to_domain | Convert optimization parameters to domain parameters |
| trans_alpha_matern | Transform Matérn alpha from real line to domain |
| trans_from_real_to_minus_1_and_1 | Transform power-law kappa from real line to domain |
| wn | White noise process ('time_series_model') |
