Estimate Functional and Stochastic Parameters of Linear Models with Correlated Residuals and Missing Data

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Documentation for package ‘gmwmx2’ version 0.0.5

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

+.sum_model	Add to a 'sum_model' object
+.time_series_model	Add to a 'time_series_model' object
ar1	AR(1) process ('time_series_model')
df_estimated_velocities_gmwmx	Estimated northward and eastward velocity and their standard deviation using the GMWMX estimator
download_all_stations_ngl	Download all stations name and location from the Nevada Geodetic Laboratory
download_estimated_velocities_ngl	Download estimated velocities using the MIDAS estimator provided by the Nevada Geodetic Laboratory for all stations.
download_station_ngl	Download GNSS position time series and steps reference from the Nevada Geodetic Laboratory with IGS14 or IGS20 reference frame.
flicker	Flicker noise process ('time_series_model')
generate	Generate a time series from a 'time_series_model' or 'sum_model' object
gmwm2	GMWM estimator
gmwmx2	GMWMX estimator
gmwmx2.default	GMWMX estimator
gmwmx2.gnss_ts_ngl	GMWMX estimator
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
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')
wn	White noise process ('time_series_model')