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MagmaClustR

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

v1.2.1 · Jun 28, 2024 · MIT + file LICENSE

Description

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.

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OK 13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Jun 9, 2026
ERROR 12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE Jun 8, 2026
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Dependency Network

Dependencies Reverse dependencies broom dplyr ggplot2 magrittr mvtnorm plyr purrr Rcpp rlang tibble tidyr tidyselect MagmaClustR

Version History

8 tracked
new 1.2.1 Mar 10, 2026
updated 1.2.1 ← 1.2.0 diff Jun 27, 2024
updated 1.2.0 ← 1.1.2 diff Mar 20, 2024
updated 1.1.2 ← 1.1.1 diff May 22, 2023
updated 1.1.1 ← 1.1.0 diff Jan 16, 2023
updated 1.1.0 ← 1.0.1 diff Oct 31, 2022
updated 1.0.1 ← 1.0.0 diff Aug 28, 2022
new 1.0.0 Jun 5, 2022