Estimate Functional and Stochastic Parameters of Linear Models with Correlated Residuals and Missing Data
Download all stations name and location from the Nevada Geodetic Labor...
Download estimated velocities provided by the Nevada Geodetic Laborato...
Download GNSS position time series and steps reference from the Nevada...
Estimate a trajectory model for a gnss_ts_ngl object considering a w...
Plot a fit_gnss_ts_ngl object
Plot a gnss_ts_ngl object
Extract estimated parameters from a fit_gnss_ts_ngl
Implements the Generalized Method of Wavelet Moments with Exogenous Inputs estimator (GMWMX) presented in Voirol, L., Xu, H., Zhang, Y., Insolia, L., Molinari, R. and Guerrier, S. (2024) <doi:10.48550/arXiv.2409.05160>. The GMWMX estimator allows to estimate functional and stochastic parameters of linear models with correlated residuals in presence of missing data. The 'gmwmx2' package provides functions to load and plot Global Navigation Satellite System (GNSS) data from the Nevada Geodetic Laboratory and functions to estimate linear model model with correlated residuals in presence of missing data.