wn(), ar1(), rw(), pl(), flicker(), and matern(), and independent
components can be combined with +.gmwm2() for fitting stochastic models directly from a time series by
matching empirical and theoretical wavelet variances. The returned
gmwm2_fit objects include print and plot methods.gmwmx2() as an S3 generic. It now supports both the GNSS workflow
for gnss_ts_ngl objects and a generic regression interface
gmwmx2(X, y, model, ...) for arbitrary design matrices and response
vectors, including responses with missing observations.stochastic_model = "wn + pl" to model objects such as
model = wn() + pl() or model = wn() + flicker(). GNSS fit objects now use
class gmwmx2_fit_gnss_ts_ngl and have updated print and plot methods.generate() methods for single
stochastic models, composite stochastic models, and two-state Markov
missingness models created with markov_two_states().RcppExports.longmemo
dependency and pkgdown website URL.download_all_stations_ngl, download_estimated_velocities_ngl and download_station_ngl so that it exit gracefully if NGL server is not reachable.download_all_stations_ngl, download_estimated_velocities_ngl and download_station_ngl with new address of the NGL: https://geodesy.unr.edu and using httr2.first version