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gmwmx2  

Estimate Functional and Stochastic Parameters of Linear Models with Correlated Residuals and Missing Data
View on CRAN: Click here


Download and install gmwmx2 package within the R console
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
[Scholar Profile | Author Map]
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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Complete documentation for gmwmx2
Functions, R codes and Examples using the gmwmx2 R package
Full gmwmx2 package functions and examples
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