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:
gmwmx_1.0.3.tar.gz
gmwmx_1.0.3.zip(r-4.5)gmwmx_1.0.3.zip(r-4.4)gmwmx_1.0.3.zip(r-4.3)
gmwmx_1.0.3.tgz(r-4.5-x86_64)gmwmx_1.0.3.tgz(r-4.5-arm64)gmwmx_1.0.3.tgz(r-4.4-x86_64)gmwmx_1.0.3.tgz(r-4.4-arm64)gmwmx_1.0.3.tgz(r-4.3-x86_64)gmwmx_1.0.3.tgz(r-4.3-arm64)
gmwmx_1.0.3.tar.gz(r-4.5-noble)gmwmx_1.0.3.tar.gz(r-4.4-noble)
gmwmx_1.0.3.tgz(r-4.4-emscripten)gmwmx_1.0.3.tgz(r-4.3-emscripten)
gmwmx.pdf |gmwmx.html✨
gmwmx/json (API)
NEWS
| # Install 'gmwmx' in R: |
| install.packages('gmwmx', repos = c('https://lionelvoirol.r-universe.dev', 'https://cloud.r-project.org')) |
- cola - GNSS time series for PBO station COLA
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:1e834d3390. Checks:11 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Feb 05 2025 |
| R-4.5-win-x86_64 | OK | Feb 05 2025 |
| R-4.5-mac-x86_64 | OK | Feb 05 2025 |
| R-4.5-mac-aarch64 | OK | Feb 05 2025 |
| R-4.5-linux-x86_64 | OK | Feb 05 2025 |
| R-4.4-win-x86_64 | OK | Feb 05 2025 |
| R-4.4-mac-x86_64 | OK | Feb 05 2025 |
| R-4.4-mac-aarch64 | OK | Feb 05 2025 |
| R-4.3-win-x86_64 | OK | Feb 05 2025 |
| R-4.3-mac-x86_64 | OK | Feb 05 2025 |
| R-4.3-mac-aarch64 | OK | Jan 06 2025 |
Exports:compare_fitscreate_A_matrixcreate.gnsstsestimate_gmwmxestimate_hectorPBO_get_offsetsPBO_get_stationread.gnsstsremove_outliers_hectorwrite.gnssts
Dependencies:backportsbroomclicodacolorspacecpp11dplyrfansifarverfsgenericsgluelabelinglatticelifecyclelongmemoltsamagrittrMatrixmunsellpillarpkgconfigpurrrR6RColorBrewerRcppRcppArmadillorjsonrlangrobcorscalessimtsstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithrwv
Generate data from a model
Rendered fromsimulate_data.Rmdusingknitr::rmarkdownon Feb 05 2025.Last update: 2022-08-14
Started: 2022-08-14
Load data, estimate and compare models
Rendered fromload_estimate_compare_models.Rmdusingknitr::rmarkdownon Feb 05 2025.Last update: 2023-03-20
Started: 2022-08-14
Remove extreme values in a time series signal with Hector
Rendered fromremove_outliers_hector.Rmdusingknitr::rmarkdownon Feb 05 2025.Last update: 2022-08-14
Started: 2022-08-14
Simulation study
Rendered fromsimulation_study.Rmdusingknitr::rmarkdownon Feb 05 2025.Last update: 2022-08-14
Started: 2022-08-14
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| GNSS time series for PBO station COLA | cola |
| Compare graphically two 'gnsstsmodel' objects. | compare_fits |
| Define matrix A of the functional model | create_A_matrix |
| Create a gnssts object | create.gnssts |
| Estimate a stochastic model in a two-steps procedure using the GMWMX estimator. | estimate_gmwmx |
| Estimate a stochastic model based on the MLE and the Hector implementation. | estimate_hector |
| Extract offsets for a PBO station | PBO_get_offsets |
| Load station data from PBO | PBO_get_station |
| Plotting method for a 'gnsstsmodel' object. | plot.gnsstsmodel |
| Print method for a 'gnsstsmodel' object. | print.gnsstsmodel |
| Read a gnssts object | read.gnssts |
| Remove outliers from a gnssts object using Hector | remove_outliers_hector |
| Write a gnssts object | write.gnssts |
