gmwmx
Estimate Functional and Stochastic Parameters of Linear Models with Correlated Residuals
Implements the Generalized Method of Wavelet Moments with Exogenous Inputs estimator (GMWMX) presented in Cucci, D. A., Voirol, L., Kermarrec, G., Montillet, J. P., and Guerrier, S. (2023) doi:10.1007/s00190-023-01702-8. The GMWMX estimator allows to estimate functional and stochastic parameters of linear models with correlated residuals. The 'gmwmx' package provides functions to estimate, compare and analyze models, utilities to load and work with Global Navigation Satellite System (GNSS) data as well as methods to compare results with the Maximum Likelihood Estimator (MLE) implemented in Hector.
- Version1.0.3
- R versionunknown
- LicenseAGPL-3
- Needs compilation?Yes
- Last release03/20/2023
Documentation
Team
Lionel Voirol
Stéphane Guerrier
Show author detailsRolesAuthorDavide Antonio Cucci
Show author detailsRolesAuthorJean-Philippe Montillet
Show author detailsRolesContributorGaël Kermarrec
Show author detailsRolesContributor
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Last 30 days
This package has been downloaded 192 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 5 times.
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Last 365 days
This package has been downloaded 2,797 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Sep 11, 2024 with 30 downloads.
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Dependencies
- Imports8 packages
- Suggests3 packages
- Linking To2 packages