R Observatory: Metrics for gmwmx2 version 0.0.6

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

gmwmx2

0.0.6Package record

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

0packages depend

5Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Lionel VoirolCRAN page ↗GitHub ↗Website ↗Issues ↗

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.

Changes in 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.

From NEWS.md in the release

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("gmwmx2", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("SMAC-Group/gmwmx2")

Development version from SMAC-Group/gmwmx2. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-gmwmx2

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-gmwmx2

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-gmwmx2

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 5.5 min · r-devel-windows-x86_64

Status changes

OK13 OK2026-09-16
ERROR12 OK, 1 ERROR2026-09-15
OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09

Show 11 earlier changesHide 11 earlier changes

ERROR12 OK, 1 ERROR2026-06-08
OK13 OK2026-06-06
ERROR12 OK, 1 ERROR2026-06-04
OK13 OK2026-05-21
ERROR12 OK, 1 ERROR2026-05-20
OK13 OK2026-05-14
ERROR12 OK, 1 ERROR2026-05-12
OK12 OK2026-04-25
NOTE12 OK, 2 NOTE2026-04-22
ERROR11 OK, 2 NOTE, 1 ERROR2026-04-18
NOTE12 OK, 2 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.0.6

READMEYes · 598 wordsVignettesYes · 8 · dynamicNEWSYes · 100% structured · mentions 0.0.6Citation fileNoWebsiteYes · pkgdown

Help pages: 48 (23 internal)
Examples that run: 95%21 run in a plain check · 1 hold no code
Exported functions with examples: 92%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 8% with a bibliography file

Vignettes (8)

How these are measured

Downloads

5K

CRAN downloads in the past year

Rank #8,435 · ~14/day · ~414/mo

Releases R versions

Daily download trend is not available in this view yet.

50230 days

1.1K90 days

5K1 year

Compare downloads with other packages →

Also on386 r2u5 autocran

How downloads are counted

Repository

smac-group/gmwmx2 ↗Organization: SMAC-Group

2Stars

0Forks

0Open issues

0Open PRs

0Releases

262Commits

1Commit identities

262 commits · Last activity 2026-10-04

Responsiveness

not measured

Commits over time

2026-07-19 · 2522026-10-11 · 262

How these are measured

PracticesBeta

8 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/smac-group/gmwmx2 on 2026-10-22.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (3)

pkgdown

GitHub Pages site last deployed 2026-10-04 · The repository has a site deploy workflow

pkgdown site last built 2026-10-04

CRAN release process (2)

cran-comments.mdCRAN-SUBMISSION

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies

21 external dependencies (excludes base and recommended)

Installing gmwmx2 adds 40 packages (23 with compiled code, 34 MB of source tarballs). Heaviest: stringi 11 MB, data.table 5.7 MB, Rcpp 1.8 MB.

Depends (1)

R >= 4.0.0

Imports (9)

Rcpp data.table dplyr magrittr wvMatrixhttr2 rlang longmemo

LinkingTo (2)

Rcpp RcppArmadillo

Suggests (11)

knitr leaflet rmarkdown knitcitations raster rnaturalearth shape tibble tidygeocoder sf geodata

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (6)

Lionel Voirol

Author, Maintainer since 0.0.1 (2025)

Author

Author

Author

Author

Author

Releases (6)

Pick two releases to compare their code metrics.

0.0.6Latest
record
2026-10-04 · current release · diff ↗ ·
3 hours in CRAN's queue
Listed in CRAN's incoming queue from 2026-10-04 17:20 to 2026-10-04 20:43 UTC, in 2 readings.
0.0.5
record
2026-06-10 · diff ↗ ·
added 9 exports
ar1, flicker, generate, gmwm2, markov_two_states, matern, pl, rw, wn
R
R 4.6.0 released · 2026-04-24
0.0.4
record
2026-01-08 · diff ↗
0.0.3
record
2025-08-19 · diff ↗
0.0.2
record
2025-04-11 · diff ↗
R
R 4.5.0 released · 2025-04-11
0.0.1
record
2025-03-10
R
R 4.4.0 released · 2024-04-24

Across CRAN, the median accepted release of the past year spent 23 hours in the queue, 90% under 11 days.How queue time is measured

Package metadata

First published: 2025-03-10
Total releases: 6 / 1 yrs
License: AGPL-3 OSI
Minimum R: ≥ 4.0.0
Bundled data: 102 KB / 1 file
Download size: 4.4 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("gmwmx2")

Format

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

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

Cite the R Observatory

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

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for gmwmx2 version 0.0.6 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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