estimate_hector: Estimate a stochastic model based on the MLE and the Hector...

In gmwmx: Estimate Functional and Stochastic Parameters of Linear Models with Correlated Residuals

Estimate a stochastic model based on the MLE and the Hector implementation.

Description

Estimate a stochastic model based on the MLE and the Hector implementation.

Usage

estimate_hector(
  x,
  n_seasonal = 1,
  model_string,
  likelihood_method = "AmmarGrag",
  cleanup = TRUE
)

Arguments

x	A gnssts object
n_seasonal	An integer specifying the number of seasonal component in the time series.
model_string	A string specifying the model to be estimated.
likelihood_method	A string taking either value "FullCov" or "AmmarGrag" that specify the method for the Likelihood computation.
cleanup	A boolean specifying if the files created by the estimation procedure should be cleaned.

Value

A gnsstsmodel object.

Examples

## Not run: 
cola = PBO_get_station(station_name = "COLA", column = "dE", time_range = c(51130, 52000))
fit_mle = estimate_hector(x = cola,
                          n_seasonal = 1, 
                          model_string = "wn+matern")


## End(Not run)

gmwmx documentation built on April 1, 2023, midnight