R Observatory: Metrics for uGMAR version 3.6.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

uGMAR

3.6.1Package record

Estimate Univariate Gaussian and Student's t Mixture Autoregressive Models

0packages depend

4.6Kdownloads / year

63.3%test coverage

13/13flavors OK

Overview

About

Maintained by Savi VirolainenCRAN page ↗GitHub ↗Issues ↗

Maximum likelihood estimation of univariate Gaussian Mixture Autoregressive (GMAR), Student's t Mixture Autoregressive (StMAR), and Gaussian and Student's t Mixture Autoregressive (G-StMAR) models, quantile residual tests, graphical diagnostics, forecast and simulate from GMAR, StMAR and G-StMAR processes. Leena Kalliovirta, Mika Meitz, Pentti Saikkonen (2015) doi:10.1111/jtsa.12108, Mika Meitz, Daniel Preve, Pentti Saikkonen (2023) doi:10.1080/03610926.2021.1916531, Savi Virolainen (2022) doi:10.1515/snde-2020-0060.

Changes in 3.6.1

Updated the references in the vignette.
Updated the maintainer information.

From NEWS.md in the release

Install

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

install.packages("uGMAR", 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("saviviro/uGMAR")

Development version from saviviro/uGMAR. 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-ugmar

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-uGMAR

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-uGMAR

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: 4.1 min · r-oldrel-macos-x86_64

Status changes

OK13 OK2026-08-04
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 3.6.1

READMEYes · 202 wordsVignettesYes · 1 · dynamicNEWSYes · 67% structured · mentions 3.6.1Citation fileNoWebsitenot declared in DESCRIPTION

Help pages: 79 (39 internal)includes a package overview page
Examples that run: 60%18 run in a plain check · 12 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 51%

Vignettes (1)

uGMAR: A Family of Mixture Autoregressive Models in R PDF

How these are measured

Downloads

4.6K

CRAN downloads in the past year

Rank #5,556 · ~13/day · ~387/mo

Releases R versions

Daily download trend is not available in this view yet.

53330 days

1.5K90 days

4.6K1 year

Compare downloads with other packages →

Also on115 r2u6 autocran121 c2d4u

How downloads are counted

Repository

saviviro/ugmar ↗Account: saviviro

1Stars

0Forks

1Open issues

0Open PRs

0Releases

350Commits

2Commit identities

350 commits · Last activity 2026-08-04 · 0% stars, 30d

Responsiveness

not measured

Stars over time

2023-02-15 · 12026-07-07 · 1

How these are measured

PracticesBeta

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

Checks run against github.com/saviviro/ugmar on 2026-10-21.

Docs source (1)

README.Rmd

Lint, format, editor (1)

RStudio project

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

Dependencies

Declared dependencies

6 external dependencies (excludes base and recommended)

Installing uGMAR adds 3 packages (1 with compiled code, 584 KB of source tarballs). Heaviest: Brobdingnag 334 KB, gsl 227 KB, pbapply 23 KB.

Depends (1)

R >= 3.4.0

Imports (5)

Brobdingnagparallelpbapplystatsgsl

LinkingTo (0)

none

Suggests (3)

testthat knitr rmarkdown

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 (1)

Savi Virolainen

Author, Maintainer since 1.0.0 (2017)

Releases (31)

Pick two releases to compare their code metrics.

3.6.1Latest
record
2026-08-04 · current release · diff ↗
R
R 4.6.0 released · 2026-04-24
3.6.0
record
2025-06-19 · diff ↗ ·
removed 11 exports
condMoments, condmomentPlot, diagnosticPlot, isStationary, mixingWeights, quantileResidualPlot, quantileResidualTests, quantileResiduals, randomIndividual, simulateGSMAR, smartIndividual
R
R 4.5.0 released · 2025-04-11
3.5.2
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2025-04-07 · diff ↗
3.5.1
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2024-12-04 · diff ↗
3.5.0
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2024-07-04 · diff ↗
R
R 4.4.0 released · 2024-04-24
3.4.5
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2023-08-19 · diff ↗
R
R 4.3.0 released · 2023-04-21
3.4.4
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2023-02-15 · diff ↗
3.4.3
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2022-06-07 · diff ↗
R
R 4.2.0 released · 2022-04-22
3.4.2
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2022-01-24 · diff ↗
3.4.1
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2022-01-18 · diff ↗
3.4.0
record
2021-09-02 · diff ↗

Show 25 earlier eventsHide 25 earlier events

3.3.2
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2021-07-08 · diff ↗
R
R 4.1.0 released · 2021-05-18
3.3.1
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2021-05-12 · diff ↗
3.3.0
record
2021-02-12 · diff ↗ ·
removed 1 export
uncondMoments

added 11 exports
cond_moment_plot, cond_moments, diagnostic_plot, is_stationary, mixing_weights, quantile_residual_plot, quantile_residual_tests, quantile_residuals, random_ind, smart_ind, uncond_moments
3.2.6
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2020-12-17 · diff ↗ ·
added 2 exports
LR_test, Wald_test
R
R 4.0.0 released · 2020-04-24
3.2.5
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2020-04-04 · diff ↗ ·
added 1 export
condmomentPlot
3.2.4
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2020-03-20 · diff ↗
3.2.3
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2020-03-12 · diff ↗
3.2.2
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2020-01-16 · diff ↗ ·
added 1 export
profile_logliks
3.2.1
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2019-12-11 · diff ↗
3.2.0
record
2019-08-27 · diff ↗ ·
added 2 exports
alt_gsmar, get_foc
3.1.0
record
2019-06-26 · diff ↗ ·
removed 4 exports
fitGMAR, forecastGMAR, plotGMAR, simulateGMAR

added 9 exports
GAfit, condMoments, get_regime_autocovs, get_regime_vars, get_soc, quantileResidualPlot, stmar_to_gstmar, stmarpars_to_gstmar, uncondMoments
R
R 3.6.0 released · 2019-04-26
3.0.1
record
2018-09-22 · diff ↗ ·
added 1 export
get_ar_roots
3.0.0
record
2018-08-09 · diff ↗ ·
added 12 exports
GSMAR, add_data, calc_gradient, calc_hessian, diagnosticPlot, fitGSMAR, get_gradient, get_hessian, get_regime_means, iterate_more, simulateGSMAR, swap_parametrization
2.0.3
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2018-07-20 · diff ↗
2.0.2
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2018-07-05 · diff ↗
R
R 3.5.0 released · 2018-04-23
2.0.1
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2018-04-14 · diff ↗
2.0.0
record
2018-02-26 · diff ↗
1.0.2
record
2017-10-16 · diff ↗
1.0.1
record
2017-08-29 · diff ↗
1.0.0
record
2017-08-28
R
R 3.4.0 released · 2017-04-21

Package metadata

First published: 2017-08-28
Total releases: 31 / 9 yrs
License: GPL-3 OSI
Minimum R: ≥ 3.4.0
Bundled data: 8.1 KB / 4 files
Download size: 718 KB

Appears in task views

Time Series Analysis

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("uGMAR")

Format

Virolainen, S. (2026). uGMAR: Estimate Univariate Gaussian and Student's t Mixture Autoregressive Models (Version 3.6.1) [Computer software]. https://doi.org/10.32614/CRAN.package.uGMAR

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 uGMAR version 3.6.1 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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