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
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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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- Imports8 packages
- Suggests3 packages
- Linking To2 packages