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