Package: gmwmx2 0.0.1
Lionel Voirol
gmwmx2: Estimate Functional and Stochastic Parameters of Linear Models with Correlated Residuals and Missing Data
Implements the Generalized Method of Wavelet Moments with Exogenous Inputs estimator (GMWMX) presented in Voirol, L., Xu, H., Zhang, Y., Insolia, L., Molinari, R. and Guerrier, S. (2024) <doi:10.48550/arXiv.2409.05160>. The GMWMX estimator allows to estimate functional and stochastic parameters of linear models with correlated residuals in presence of missing data. The 'gmwmx2' package provides functions to load and plot Global Navigation Satellite System (GNSS) data from the Nevada Geodetic Laboratory and functions to estimate linear model model with correlated residuals in presence of missing data.
Authors:
gmwmx2_0.0.1.tar.gz
gmwmx2_0.0.1.zip(r-4.5)gmwmx2_0.0.1.zip(r-4.4)gmwmx2_0.0.1.zip(r-4.3)
gmwmx2_0.0.1.tgz(r-4.5-x86_64)gmwmx2_0.0.1.tgz(r-4.5-arm64)gmwmx2_0.0.1.tgz(r-4.4-x86_64)gmwmx2_0.0.1.tgz(r-4.4-arm64)gmwmx2_0.0.1.tgz(r-4.3-x86_64)gmwmx2_0.0.1.tgz(r-4.3-arm64)
gmwmx2_0.0.1.tar.gz(r-4.5-noble)gmwmx2_0.0.1.tar.gz(r-4.4-noble)
gmwmx2_0.0.1.tgz(r-4.4-emscripten)gmwmx2_0.0.1.tgz(r-4.3-emscripten)
gmwmx2.pdf |gmwmx2.html✨
gmwmx2/json (API)
NEWS
| # Install 'gmwmx2' in R: |
| install.packages('gmwmx2', repos = c('https://smac-group.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/smac-group/gmwmx2/issues
- df_estimated_velocities_gmwmx - Estimated northward and eastward velocity and their standard deviation using the GMWMX estimator
Last updated 8 hours agofrom:feb9e18657. Checks:12 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 11 2025 |
| R-4.5-win-x86_64 | OK | Mar 11 2025 |
| R-4.5-mac-x86_64 | OK | Mar 11 2025 |
| R-4.5-mac-aarch64 | OK | Mar 11 2025 |
| R-4.5-linux-x86_64 | OK | Mar 11 2025 |
| R-4.4-win-x86_64 | OK | Mar 11 2025 |
| R-4.4-mac-x86_64 | OK | Mar 11 2025 |
| R-4.4-mac-aarch64 | OK | Mar 11 2025 |
| R-4.4-linux-x86_64 | OK | Mar 11 2025 |
| R-4.3-win-x86_64 | OK | Mar 11 2025 |
| R-4.3-mac-x86_64 | OK | Mar 11 2025 |
| R-4.3-mac-aarch64 | OK | Mar 11 2025 |
Exports:download_all_stations_ngldownload_estimated_velocities_ngldownload_station_nglgmwmx2
Dependencies:askpassbackportsbroomclicodacolorspacecpp11curldata.tabledplyrfansifarvergenericsgluehttr2labelinglatticelifecyclemagrittrMatrixmunsellopensslpillarpkgconfigpurrrR6rappdirsRColorBrewerRcppRcppArmadillorlangrobcorscalessimtsstringistringrsystibbletidyrtidyselectutf8vctrsviridisLitewithrwv
Estimate a model
Rendered fromfit_model.Rmdusingknitr::rmarkdownon Mar 11 2025.Last update: 2024-11-18
Started: 2024-11-05
Estimate a small network of GNSS station
Rendered fromestimate_small_network.Rmdusingknitr::rmarkdownon Mar 11 2025.Last update: 2025-03-11
Started: 2024-11-15
Load and plot data from Nevada Geodetic Laboratory
Rendered fromload_plot_data_ngl.Rmdusingknitr::rmarkdownon Mar 11 2025.Last update: 2024-11-18
Started: 2024-11-05
Plot a large network of GNSS data
Rendered fromplot_large_network.Rmdusingknitr::rmarkdownon Mar 11 2025.Last update: 2025-03-09
Started: 2024-11-15
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Estimated northward and eastward velocity and their standard deviation using the GMWMX estimator | df_estimated_velocities_gmwmx |
| Download all stations name and location from the Nevada Geodetic Laboratory | download_all_stations_ngl |
| Download estimated velocities provided by the Nevada Geodetic Laboratory for all stations. | download_estimated_velocities_ngl |
| Download GNSS position time series and steps reference from the Nevada Geodetic Laboratory with IGS14 reference frame. | download_station_ngl |
| Estimate a trajectory model for a 'gnss_ts_ngl' object considering a white noise plus colored noise as the stochastic model for the residuals and model missingness with a Markov process using the GMWMX estimator. | gmwmx2 |
| Plot a 'fit_gnss_ts_ngl' object | plot.fit_gnss_ts_ngl |
| Plot a 'gnss_ts_ngl' object | plot.gnss_ts_ngl |
| Extract estimated parameters from a 'fit_gnss_ts_ngl' | summary.fit_gnss_ts_ngl |
