R Observatory
Search

Estimate Functional and Stochastic Parameters of Linear Models with Correlated Residuals and Missing Data

install.packages("gmwmx2")
CRAN 30-day downloads, method
474+24.1% up on the 30 days before, the better direction

Implements the Wavelet Moment Regression (WAMORE) inference framework presented in Voirol, L., Xu, H., Zhang, Y., Insolia, L., Molinari, R. and Guerrier, S. (2026) <doi:10.48550/arXiv.2607.16264>.

Full description

Implements the Wavelet Moment Regression (WAMORE) inference framework presented in Voirol, L., Xu, H., Zhang, Y., Insolia, L., Molinari, R. and Guerrier, S. (2026) <doi:10.48550/arXiv.2607.16264>. Provides computationally efficient estimation of functional and stochastic parameters of linear models with correlated residuals, including settings with missing data. Includes functions to download and plot Global Navigation Satellite System (GNSS) position time series from the Nevada Geodetic Laboratory and estimate tectonic velocities and crustal uplift using composite stochastic models.

Maintainer
Lionel Voirol
Licence
AGPL-3
Latest release
4 Oct 2026
First release
10 Mar 2025

Compare with another package

More details
Releases
6
Needs compilation
Yes
Needs R
>= 4.0.0
Config/roxygen2/version
8.1.0
Language
en-US
LazyData
true
Subjects (1) Method, Subjects
Cite

Package

Run in R for the authors' preferred citation:

citation("gmwmx2")
APA
Voirol, L., Guerrier, S., Insolia, L., Molinari, R., Xu, H., & Zhang, Y. (2026). gmwmx2: Estimate Functional and Stochastic Parameters of Linear Models
with Correlated Residuals and Missing Data (Version 0.0.6) [Computer software]. https://doi.org/10.32614/CRAN.package.gmwmx2
About

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA
Balamuta, J. J. (2026). R Observatory: Metrics for gmwmx2 version 0.0.6 [Data set]. HJJB, LLC. Data release v2026-10-27. https://doi.org/10.5281/zenodo.21843040
About

From data release v2026-10-27, which the citation names so these numbers can be found later.

All 13 check platforms pass.

  • r-devel-linux-x86_64-debian-clang

    The unreleased R on Linux, x86_64, debian-clang

    OK

    Version checked
    0.0.6
    Time taken
    208 s
  • r-devel-linux-x86_64-debian-gcc

    The unreleased R on Linux, x86_64, debian-gcc

    OK

    Version checked
    0.0.6
    Time taken
    142 s
  • r-devel-linux-x86_64-fedora-clang

    The unreleased R on Linux, x86_64, fedora-clang

    OK

    Version checked
    0.0.6
    Time taken
    155 s
  • r-devel-linux-x86_64-fedora-gcc

    The unreleased R on Linux, x86_64, fedora-gcc

    OK

    Version checked
    0.0.6
    Time taken
    143 s
  • r-devel-windows-x86_64

    The unreleased R on Windows, x86_64

    OK

    Version checked
    0.0.6
    Time taken
    329 s
  • r-oldrel-macos-arm64

    The previous release of R on macOS, arm64

    OK

    Version checked
    0.0.6
    Time taken
    60 s
  • r-oldrel-macos-x86_64

    The previous release of R on macOS, x86_64

    OK

    Version checked
    0.0.6
    Time taken
    158 s
  • r-oldrel-windows-x86_64

    The previous release of R on Windows, x86_64

    OK

    Version checked
    0.0.6
    Time taken
    304 s
  • r-patched-linux-x86_64

    The patched release of R on Linux, x86_64

    OK

    Version checked
    0.0.6
    Time taken
    178 s
  • r-release-linux-x86_64

    The current release of R on Linux, x86_64

    OK

    Version checked
    0.0.6
    Time taken
    172 s
  • r-release-macos-arm64

    The current release of R on macOS, arm64

    OK

    Version checked
    0.0.6
    Time taken
    43 s
  • r-release-macos-x86_64

    The current release of R on macOS, x86_64

    OK

    Version checked
    0.0.6
    Time taken
    137 s
  • r-release-windows-x86_64

    The current release of R on Windows, x86_64

    OK

    Version checked
    0.0.6
    Time taken
    260 s
  • 13 OK

Over time

No change since 16 Sep 2026

As a list (16)
ChangedWorst statusOKNotesWarningsErrors
16 Sep 2026OK13000
15 Sep 2026Error12001
5 Aug 2026OK13000
1 Aug 2026Note12100
9 Jun 2026OK13000
8 Jun 2026Error12001
6 Jun 2026OK13000
4 Jun 2026Error12001
21 May 2026OK13000
20 May 2026Error12001
14 May 2026OK13000
12 May 2026Error12001
25 Apr 2026OK12000
22 Apr 2026Note12200
18 Apr 2026Error11201
10 Mar 2026Note12200

Since March 2026

Check results on CRAN

Total downloads in the last 30 days
479+12.7% up on the 30 days before, the better directionIt is the sum of 3 channels: CRAN, r2u and autoCRAN.

CRAN rank

6,523 of 26,529

CRAN

474 downloads in the last 30 days

Rank
6,523 of 26,529
Change
+24.1% up on the 30 days before, the better direction

It is in the total. Take it out

r2u

3 downloads in the last 30 days

Rank
11,992 of 30,526
Change
−88.5% down on the 30 days before, the worse direction

It is in the total. Take it out

autoCRAN

2 downloads in the last 30 days

Rank
22,388 of 29,212
Change
−88.2% down on the 30 days before, the worse direction

It is in the total. Take it out

Over time

Compare downloads

Needs
10
Dependent packages
0
Suggested by
0
Needs (10)
Installing it adds
40 packages, 33.8 MB of source
Of those, need compilation
23
Optional extras (11)
Functions
171
Public exports
13
Lines of R code
4,995
Median complexity
1
Functions (171)
Size and composition

Lines by kind (10,789)

KindLinesShare
R code4,99546%
Documentation1,40413%
Guides2,40522%
Compiled code1,98518%

Lines by language

LanguageLinesShare
R4,99546%
Vignettes2,21021%
C++1,98518%
Rd1,40413%
Other1952%

Languages are counted from file extensions.

Files
124
R functions
98
Compiled functions
73
Object systems
S3: 23 methods
Complexity
Median
1
Mean
4.38
Highest
33
Median lines per function
6
About complexity

Cyclomatic complexity counts the independent paths through a function: 1 is a straight line, higher is harder to test. R functions only.

Call graph figures
R functions
98
Calls
85
Unconnected
38
Groups
4
Growth (6 releases)
Total lines by release
4,767 on 10 Mar 202510,789 on 4 Oct 2026
Release changes

The package was built and has no tests to run.

Lines of tests
0
Exports named in tests
0%
Test suite
Has tests
No
Test frameworks
No tests in this release
Test lines per line of code
0
DatasetSizeColumns
df_estimated_velocities_gmwmxEstimated northward and eastward velocity and their standard deviation using the GMWMX estimator1,202 × 12station_name, estimated_trend_N, std_estimated_trend_N, estimated_trend_E, std_estimated_trend_E, length_signal and 6 more

SMAC-Group / gmwmx2 on github.com

Stars
2
Forks
0
Open issues
0
Last commit
4 Oct 2026
Activity
Commits
262
Open pull requests
0
Tagged releases
0
Latest tagged release
–
Issues closed in
–
Pull requests closed in
–
Pull requests merged
–
Created
4 Nov 2024
Licence file reads as
–
Development practices (8)
KindFound
Continuous integrationGitHub Actions, R CMD check workflow
The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel
Docs sourcepkgdown
GitHub Pages site last deployed 2026-10-04
The repository has a site deploy workflow
pkgdown site last built 2026-10-04
CRAN release processcran-comments.md, CRAN-SUBMISSION
Lint, format, editorRStudio project

Method, repository practices

Across SMAC-Group

R releases
  • On CRAN
  • Facing archival
  • Release
VersionReleasedREvents
0.0.6 current4 Oct 20264.6.1Fix due 6 Oct 2026
The checks were fixed and the deadline was lifted.
0.0.510 Jun 20264.6.0
0.0.48 Jan 20264.5.2
0.0.319 Aug 20254.5.1
0.0.211 Apr 20254.5.0
0.0.110 Mar 20254.4.3
Release notes (0.0.6)
  • Added clear errors when plotting GNSS objects of class gnss_ts_ngl with missing or empty position data.
  • Added calendar-year axes to time-series plots of gnss_ts_ngl objects.
  • Updated the NGL load-and-plot vignette to use station CERN and skip plotting when downloaded position data are empty.
  • Registered the S3 methods for internal autocovariance and model covariance calculations, resolving roxygen2 registration warnings while keeping the generics internal.
  • Updated the README to describe Wavelet Moment Regression (WAMORE) and cite the 2026 arxiv preprint.