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.">

gmwmx2: Estimate Functional and Stochastic Parameters of Linear Models with Correlated Residuals and Missing Data (original) (raw)

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.

Version: 0.0.3
Depends: R (≥ 4.0.0)
Imports: Rcpp, data.table, dplyr, magrittr, wv, Matrix, httr2, rlang
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown, knitcitations, raster, rnaturalearth, shape, tibble, tidygeocoder, sf, geodata
Published: 2025-08-19
DOI: 10.32614/CRAN.package.gmwmx2
Author: Lionel Voirol ORCID iD [aut, cre], Haotian Xu ORCID iD [aut], Yuming Zhang ORCID iD [aut], Luca Insolia ORCID iD [aut], Roberto Molinari ORCID iD [aut], Stéphane Guerrier ORCID iD [aut]
Maintainer: Lionel Voirol
BugReports: https://github.com/SMAC-Group/gmwmx2/issues
License: AGPL-3
URL: https://github.com/SMAC-Group/gmwmx2
NeedsCompilation: yes
Language: en-US
Materials: README, NEWS
CRAN checks: gmwmx2 results

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