Other packages > Find by keyword >

MagmaClustR  

Clustering and Prediction using Multi-Task Gaussian Processes with Common Mean
View on CRAN: Click here


Download and install MagmaClustR package within the R console
Install from CRAN:
install.packages("MagmaClustR")

Install from Github:
library("remotes")
install_github("cran/MagmaClustR")

Install by package version:
library("remotes")
install_version("MagmaClustR", "1.2.1")



Attach the package and use:
library("MagmaClustR")
Maintained by
Arthur Leroy
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-06-06
Latest Update: 2024-06-28
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) , and Arthur Leroy, Pierre Latouche, Benjamin Guedj and Servane Gey (2023) . 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.
How to cite:
Arthur Leroy (2022). MagmaClustR: Clustering and Prediction using Multi-Task Gaussian Processes with Common Mean. R package version 1.2.1, https://cran.r-project.org/web/packages/MagmaClustR. Accessed 04 Jun. 2026.
Previous versions and publish date:
1.0.0 (2022-06-06 11:00), 1.0.1 (2022-08-29 22:20), 1.1.0 (2022-11-01 22:46), 1.1.1 (2023-01-17 10:40), 1.1.2 (2023-05-23 20:32), 1.2.0 (2024-03-21 18:00)
Other packages that cited MagmaClustR R package
View MagmaClustR citation profile
Other R packages that MagmaClustR depends, imports, suggests or enhances
Complete documentation for MagmaClustR
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

murphydiagram  
Murphy Diagrams for Forecast Comparisons
Data and code for the paper by Ehm, Gneiting, Jordan and Krueger ('Of Quantiles and Expectiles: Con ...
Download / Learn more Package Citations See dependency  
golem  
A Framework for Robust Shiny Applications
An opinionated framework for building a production-ready 'Shiny' application. This package contains ...
Download / Learn more Package Citations See dependency  
crplyr  
A 'dplyr' Interface for Crunch
In order to facilitate analysis of datasets hosted on the Crunch data platform ...
Download / Learn more Package Citations See dependency  
AMPLE  
Shiny Apps to Support Capacity Building on Harvest Control Rules
Three Shiny apps are provided that introduce Harvest Control Rules (HCR) for fisheries management. ...
Download / Learn more Package Citations See dependency  
phers  
Calculate Phenotype Risk Scores
Use phenotype risk scores based on linked clinical and genetic data to study Mendelian disease and ...
Download / Learn more Package Citations See dependency  
shinybusy  
Busy Indicators and Notifications for 'Shiny' Applications
Add indicators (spinner, progress bar, gif) in your 'shiny' applications to show the user that the ...
Download / Learn more Package Citations See dependency  

27,268

R Packages

233,548

Dependencies

72,590

Author Associations

27,205

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA