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ngme2

0.9.8

Linear Latent Non-Gaussian Models with Flexible Distributions

0packages depend
1.4Kdownloads / year
47.0%test coverage
11/13checks pass

Overview

About
Maintained by Xiaotian JinFirst published 2026-04-282 releasesCRAN page ↗GitHub ↗

Fits and analyzes linear latent non-Gaussian models for temporal, spatial, and space-time data. The package provides model components for autoregressive and Ornstein-Uhlenbeck processes, random walks, Matern fields based on stochastic partial differential equations, separable and non-separable space-time models, graph-based Matern models, bivariate type-G fields, and user-defined sparse operators. Latent fields and observation models can use Gaussian and non-Gaussian noise distributions, including normal inverse Gaussian, generalized asymmetric Laplace, and skew-t distributions. Functions are included for simulation, likelihood-based estimation, prediction, cross-validation, convergence diagnostics, stochastic gradient optimization, batch-means confidence intervals, and posterior-like sampling. The modeling framework is described in Bolin, Jin, Simas and Wallin (2026) "A Unified and Computationally Efficient Non-Gaussian Statistical Modeling Framework" doi:10.48550/arXiv.2602.23987.

Install

Health

CRAN checks
2ERROR11OK
Failing flavors
  • ERROR r-devel-linux-x86_64-fedora-clang
  • ERROR r-devel-linux-x86_64-fedora-gcc
Slowest check: 99.0 min · r-devel-linux-x86_64-fedora-gcc
Code health
Yes
Tests · ratio 0.27
47.0%
Coverage · measured lines
100%
Documentation · exports
10
Dependencies · direct
Check history
  • ERROR2026-04-29
    3 OK · 0 NOTE · 0 WARNING · 2 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 186 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
94%
Return-value docs
100%
References docs
6%

Downloads

1.4K
CRAN downloads in the past year
Rank #10,032 · ~4/day · ~119/mo
Daily download trend is not available in this view yet.
20530 days
94490 days
1.4K1 year
Compare downloads with other packages →
Also on111 r2u

Repository

Repository
8Stars
1Forks
1Open issues
0Open PRs
15Releases
1,072Commits
11Contributors
1,072 commits · Last activity 2026-07-23

Commits over time

2026-07-19 · 1,0712026-07-26 · 1,072

Repository practices

Upstream repositoryBeta

2 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/davidbolin/ngme2 on 2026-08-16.

Continuous integration (1)
GitHub Actions
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Development tooling

AI-assisted toolingBeta

Uses AI-assisted development tooling (declared in repo)

Earliest detected marker: claude on 2025-09-11

claude

Most recent: claude on 2025-09-11

Evidence
  • claude: on 2025-09-11 · evidence B, D
How this is detected·Detection ruleset v2 (updated 2026-07-29)

Dependencies

Declared dependencies
20 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5.0
Imports (10)
MatrixRcppmethodsrlangggplot2graphicsfmesherstatsgridExtrawithr
LinkingTo (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (19)
Maintainer (1)
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Contributors (12)
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Package Timeline

2 releases. Pick two to compare their code metrics. R releases are shown for context.

  • 0.9.8Latest
    2026-05-20 · current release · diff ↗
  • 0.9.7
    2026-04-28
  • R
    R 4.6.0 released · 2026-04-24

Package metadata

First published
2026-04-28
Total releases
2 / 1 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 3.5.0
Bundled data
52 KB / 4 files
Download size
2.0 MB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ngme2")
Jin, X., Free Software Foundation, Inc., Regents of the University of Minnesota, University of Florida, Amestoy, P. R., Bolin, D., Chemeris, A., Chen, Y., Davis, T. A., Duff, I. S., Hager, W. W., Larimore, S., Matsumoto, M., Nishimura, T., Rajamanickam, S., Reid, J. K., Rocha, A. V., Simas, A., & Wallin, J. (2026). ngme2: Linear Latent Non-Gaussian Models with Flexible Distributions (Version 0.9.8) [Computer software]. https://doi.org/10.32614/CRAN.package.ngme2

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the 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 ngme2 version 0.9.8 [Data set]. HJJB, LLC. Data release v2026-08-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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