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gmwmx2
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Install from CRAN:
install.packages("gmwmx2")
Install from Github:
library("remotes")
install_github("cran/gmwmx2")
Install by package version:
library("remotes")
install_version("gmwmx2", "0.0.1")
Attach the package and use:
library("gmwmx2")
Maintained by
Lionel Voirol
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[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.gmwmx2 . https://github.com/SMAC-Group/gmwmx2/issues . https://github.com/SMAC-Group/gmwmx2 . gmwmx2 results . gmwmx2.pdf . gmwmx2_0.0.1.tar.gz . gmwmx2_0.0.1.zip . gmwmx2_0.0.1.zip . gmwmx2_0.0.1.zip . gmwmx2_0.0.1.tgz . gmwmx2_0.0.1.tgz . gmwmx2_0.0.1.tgz . gmwmx2_0.0.1.tgz . gmwmx2_0.0.1.tgz . gmwmx2_0.0.1.tgz . https://CRAN.R-project.org/package=gmwmx2 .
First Published: 2025-04-11
Latest Update: 2025-04-11
Description:
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.
How to cite:
Lionel Voirol (2025). gmwmx2: Estimate Functional and Stochastic Parameters of Linear Models with Correlated Residuals and Missing Data. R package version 0.0.1, https://cran.r-project.org/web/packages/gmwmx2. Accessed 05 Apr. 2025.
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