CRAN/E | gmwmx

gmwmx

Estimate Functional and Stochastic Parameters of Linear Models with Correlated Residuals

Installation

About

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.

Key Metrics

Version 1.0.3
R ≥ 4.0.0
Published 2023-03-20 393 days ago
Needs compilation? yes
License AGPL-3
CRAN checks gmwmx results

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Maintainer

Maintainer

Lionel Voirol

lionelvoirol@hotmail.com

Authors

Davide Antonio Cucci

aut

Lionel Voirol

aut / cre

Stéphane Guerrier

aut

Jean-Philippe Montillet

ctb

Gaël Kermarrec

ctb

Material

README
NEWS
Reference manual
Package source

Vignettes

Load data, estimate and compare models
Remove extreme values in a time series signal with Hector
Generate data from a model
Simulation study

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

gmwmx archive

Depends

R ≥ 4.0.0

Imports

Rcpp
fs
stringi
wv
Matrix
longmemo
rjson
ltsa

Suggests

rmarkdown
knitr
simts

LinkingTo

Rcpp
RcppArmadillo