R Observatory: Metrics for MagmaClustR version 1.2.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

MagmaClustR

1.2.1Package record

Clustering and Prediction using Multi-Task Gaussian Processes with Common Mean

0packages depend

3.3Kdownloads / year

13.9%test coverage

13/13flavors OK

Overview

About

Maintained by Arthur LeroyCRAN page ↗GitHub ↗Website ↗Issues ↗

An implementation for the multi-task Gaussian processes with common mean framework. Two main algorithms, called 'Magma' and 'MagmaClust', are available to perform predictions for supervised learning problems, in particular for time series or any functional/continuous data applications. The corresponding articles has been respectively proposed by Arthur Leroy, Pierre Latouche, Benjamin Guedj and Servane Gey (2022) doi:10.1007/s10994-022-06172-1, and Arthur Leroy, Pierre Latouche, Benjamin Guedj and Servane Gey (2023) https://jmlr.org/papers/v24/20-1321.html. Theses approaches leverage the learning of cluster-specific mean processes, which are common across similar tasks, to provide enhanced prediction performances (even far from data) at a linear computational cost (in the number of tasks). 'MagmaClust' is a generalisation of 'Magma' where the tasks are simultaneously clustered into groups, each being associated to a specific mean process. User-oriented functions in the package are decomposed into training, prediction and plotting functions. Some basic features (classic kernels, training, prediction) of standard Gaussian processes are also implemented.

Changes in 1.2.1

Major

Make 'get_full_cov = T' the default option when using pred_magmaclust()

Minor

Remove the useless messages when using samples=T in plotting functions
Create an error when users try train_magmaclust(nb_cluster = 1)
Make 'samples = T' the default plot when using prediction functions
Add mention of the 'hp()' function to the documentation
Fix Warning message when plotting clusters with exact same posterior probability
Display plots for the generic (no data provided) prediction that are condistent with classic ones
Disable the symmetry check when generating posterior samples for predictions

From NEWS.md in the release

Install

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

install.packages("MagmaClustR", 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("ArthurLeroy/MagmaClustR")

Development version from ArthurLeroy/MagmaClustR. 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-magmaclustr

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-MagmaClustR

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-MagmaClustR

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: 3.2 min · r-devel-windows-x86_64

Status changes

OK13 OK2026-09-08
ERROR12 OK, 1 ERROR2026-09-07
OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09

Show 4 earlier changesHide 4 earlier changes

ERROR12 OK, 1 ERROR2026-06-08
OK14 OK2026-04-22
ERROR13 OK, 1 ERROR2026-04-18
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.2.1

READMEYes · 522 wordsVignettes· In the repository, left out of the releaseNEWSYes · 100% structured · mentions 1.2.1Citation fileNoWebsiteYes · pkgdown

The repository also keeps web-only articles.

Help pages: 64 (37 internal)includes a package overview page
Examples that run: 100%60 run in a plain check
Exported functions with examples: 96%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 0%

How these are measured

Downloads

3.3K

CRAN downloads in the past year

Rank #12,242 · ~9/day · ~273/mo

Releases R versions

Daily download trend is not available in this view yet.

32430 days

89190 days

3.3K1 year

Compare downloads with other packages →

Also on354 r2u1 autocran

How downloads are counted

Repository

arthurleroy/magmaclustr ↗Account: ArthurLeroy

21Stars

7Forks

0Open issues

1Open PRs

7Releases

179Commits

3Commit identities

r-packagergaussian-processesmulti-task-predictionmulti-task-learning

179 commits · Last activity 2026-08-03 · 0% stars, 30d

Responsiveness

How these are sampled

PRs merged (all time): 50%
Median days to close, 50 most recently updated closed issues: not measured
Median days to close, 50 most recently updated closed PRs: 0

Stars over time

2025-07-27 · 172026-07-07 · 21

How these are measured

PracticesBeta

10 development-tooling and community-health practices detected across 5 families in the upstream repository

Checks run against github.com/arthurleroy/magmaclustr on 2026-10-11.

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 (4)

README.Rmdpkgdown

GitHub Pages site last deployed 2026-06-10 · The repository has a site deploy workflow

pkgdown site last built 2026-06-10

Coverage (1)

Coverage reporting

CRAN release process (2)

cran-comments.mdCRAN-SUBMISSION

Show all practicesHide 1 practice

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v3 (2026-09-26)

AI coding toolsBeta

This repository shows signs of AI coding tools.

GitHub Copilotfirst seen 2026-06-19
Pull request: opened by its own account

How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies

22 external dependencies (excludes base and recommended)

Installing MagmaClustR adds 34 packages (19 with compiled code, 32 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, Rcpp 1.8 MB.

Depends (1)

R >= 2.10

Imports (14)

broom dplyr ggplot2 magrittrmethodsmvtnorm plyr purrr Rcpp rlangstatstibble tidyr tidyselect

LinkingTo (1)

Rcpp

Suggests (9)

gganimate gifski gridExtra knitr plotly png rmarkdown testthat transformr

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 (5)

Arthur Leroy

Author, Maintainer since 1.0.0 (2022)

Pierre Latouche

Author

Alexia Grenouillat

Contributor · added in 1.1.1

Hugo Lelievre

Contributor · added in 1.1.0

Pierre Pathé

Contributor

Listed in earlier versions (1)

Alexia Grenouilla

no longer listed · 1.1.0

Releases (7)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
1.2.1Latest
record
2024-06-28 · current release · diff ↗
R
R 4.4.0 released · 2024-04-24
1.2.0
record
2024-03-21 · diff ↗ ·
added 4 exports
plot_magma, plot_samples, sample_magma, sample_magmaclust
1.1.2
record
2023-05-23 · diff ↗
R
R 4.3.0 released · 2023-04-21
unarchivedReturned to CRAN
2023-01-17
1.1.1
record
2023-01-17 · diff ↗
archivedRemoved from CRAN
2022-11-17
issues were not corrected in time
1.1.0
record
2022-11-01 · diff ↗ ·
added 3 exports
expand_grid_inputs, regularise_data, regularize_data
1.0.1
record
2022-08-29 · diff ↗
1.0.0
record
2022-06-06
R
R 4.2.0 released · 2022-04-22

Package metadata

First published: 2022-06-06
Total releases: 7 / 4 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 2.10
Bundled data: 215 KB / 2 files
Download size: 1.6 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("MagmaClustR")

Format

Leroy, A., Grenouillat, A., Latouche, P., Lelievre, H., & Pathé, P. (2024). MagmaClustR: Clustering and Prediction using Multi-Task Gaussian Processes with Common Mean (Version 1.2.1) [Computer software]. https://doi.org/10.32614/CRAN.package.MagmaClustR

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 MagmaClustR version 1.2.1 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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