trans_from_real_to_minus_1_and_1

Maps unconstrained real values to the stationary domain for the
power-law parameter <code>kappa</code> using a <code>tanh</code> transform.

internal

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

trans_from_real_to_minus_1_and_1 function

<dl><dt>x</dt>
<dd>Numeric vector on the real line.</dd></dl>

Arguments

Transform power-law kappa from real line to domain — trans_from_real_to_minus_1_and_1

<dl>

<dt>x</dt>
<dd>Numeric vector on the real line.</dd>

</dl>

trans_from_real_to_minus_1_and_1: Transform power-law kappa from real line to domain

Description

Usage

Value

Arguments