MagmaClustR
1.2.1Clustering and Prediction using Multi-Task Gaussian Processes with Common Mean
Overview
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.
Install
Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-04-2214 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 2 earlier snapshots
- ERROR2026-04-1813 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 0%
Downloads
Repository
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5 development-tooling and community-health practices detected across 4 families in the upstream repository
Checks run against github.com/arthurleroy/magmaclustr on 2026-08-16.
Dependencies
Nothing depends on this yet.
Code & Tests
Datasets
People & History
7 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 1.2.1Latest
- RR 4.4.0 released · 2024-04-24
- 1.2.02024-03-21 · diff ↗
- 1.1.22023-05-23 · diff ↗
- RR 4.3.0 released · 2023-04-21
- 1.1.12023-01-17 · diff ↗
- unarchivedReturned to CRAN2023-01-17
- archivedRemoved from CRAN2022-11-17issues were not corrected in time
- 1.1.02022-11-01 · diff ↗
- 1.0.12022-08-29 · diff ↗
- 1.0.02022-06-06
- RR 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
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("MagmaClustR")This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.
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