print.gmwmx2_fit

Displays a table of regression coefficients with standard errors and
summarizes the fitted stochastic model with estimated parameters.

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.

Lionel Voirol

gmwmx2

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

Haotian Xu

Yuming Zhang

Luca Insolia

Roberto Molinari

Stéphane Guerrier

print.gmwmx2_fit function

<dl><dt>x</dt>
<dd>A <code>gmwmx2_fit</code> object.</dd>
<dt>digits</dt>
<dd>Significant digits to display.</dd>
<dt>...</dt>
<dd>Passed to print methods.</dd></dl>

Arguments

Print method for a gmwmx2_fit object — print.gmwmx2_fit

<dl>

<dt>x</dt>
<dd>A <code>gmwmx2_fit</code> object.</dd>


<dt>digits</dt>
<dd>Significant digits to display.</dd>


<dt>...</dt>
<dd>Passed to print methods.</dd>

</dl>

print.gmwmx2_fit: Print method for a `gmwmx2_fit` object

Description

Usage

Value

Arguments