Package: gmwmx 1.0.3

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.

Authors:Davide Antonio Cucci [aut], Lionel Voirol [aut, cre], Stéphane Guerrier [aut], Jean-Philippe Montillet [ctb], Gaël Kermarrec [ctb]

gmwmx_1.0.3.tar.gz
gmwmx_1.0.3.zip(r-4.7-x86_64)gmwmx_1.0.3.zip(r-4.7-arm64)gmwmx_1.0.3.zip(r-4.6-x86_64)gmwmx_1.0.3.zip(r-4.6-arm64)gmwmx_1.0.3.zip(r-4.5-x86_64)
gmwmx_1.0.3.tgz(r-4.6-x86_64)gmwmx_1.0.3.tgz(r-4.6-arm64)gmwmx_1.0.3.tgz(r-4.5-x86_64)gmwmx_1.0.3.tgz(r-4.5-arm64)
gmwmx_1.0.3.tar.gz(r-4.7-arm64)gmwmx_1.0.3.tar.gz(r-4.7-x86_64)gmwmx_1.0.3.tar.gz(r-4.6-arm64)gmwmx_1.0.3.tar.gz(r-4.6-x86_64)
gmwmx_1.0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
gmwmx/json (API)

# Install 'gmwmx' in R:
install.packages('gmwmx', repos = c('https://lionelvoirol.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • cola - GNSS time series for PBO station COLA

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

3.53 score 17 scripts 343 downloads 10 exports 39 dependencies

Last updated from:1e834d3390. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK124
linux-devel-x86_64OK159
source / vignettesOK219
linux-release-arm64OK130
linux-release-x86_64OK133
macos-release-arm64OK124
macos-release-x86_64OK231
macos-oldrel-arm64OK130
macos-oldrel-x86_64OK406
windows-devel-arm64OK387
windows-devel-x86_64OK184
windows-release-arm64OK395
windows-release-x86_64OK98
windows-oldrel-x86_64OK160
wasm-releaseOK117

Exports:compare_fitscreate_A_matrixcreate.gnsstsestimate_gmwmxestimate_hectorPBO_get_offsetsPBO_get_stationread.gnsstsremove_outliers_hectorwrite.gnssts

Dependencies:backportsbroomclicodacpp11dplyrfarverfsgenericsgluelabelinglatticelifecyclelongmemoltsamagrittrMatrixpillarpkgconfigpurrrR6RColorBrewerRcppRcppArmadillorjsonrlangrobcorscalessimtsstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithrwv

Load data, estimate and compare models
Importing a .mom file as a gnssts object | Estimate a model | Supported models | Functional model | Stochastic model | Estimate a model with the GMWMX | Estimate a model with the MLE implemented in Hector | Importing data from the Plate Boundary Observatory (PBO) | Comparing estimated models
Rendered fromload_estimate_compare_models.Rmdusingknitr::rmarkdown

Last update: 2023-03-20
Started: 2022-08-14

Generate data from a model
Rendered fromsimulate_data.Rmdusingknitr::rmarkdown

Last update: 2022-08-14
Started: 2022-08-14

Remove extreme values in a time series signal with Hector
Rendered fromremove_outliers_hector.Rmdusingknitr::rmarkdown

Last update: 2022-08-14
Started: 2022-08-14

Simulation study
Rendered fromsimulation_study.Rmdusingknitr::rmarkdown

Last update: 2022-08-14
Started: 2022-08-14