Package: MagmaClustR
Title: Clustering and Prediction using Multi-Task Gaussian Processes
        with Common Mean
Version: 1.2.1
Authors@R: c(
    person("Arthur", "Leroy", , "arthur.leroy.pro@gmail.com",
           role = c("aut", "cre"),
           comment = c(ORCID = "0000-0003-0806-8934")),
    person("Pierre", "Latouche", , "pierre.latouche@gmail.com", role = "aut"),
    person("Pierre", "Pathé", , "pathepierre@gmail.com", role = "ctb"),
    person("Alexia", "Grenouillat", , "grenouil@insa-toulouse.fr", role = "ctb"),
    person("Hugo", "Lelievre", , "lelievre@insa-toulouse.fr", role = "ctb")
  )
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. 
License: MIT + file LICENSE
URL: https://github.com/ArthurLeroy/MagmaClustR,
        https://arthurleroy.github.io/MagmaClustR/
BugReports: https://github.com/ArthurLeroy/MagmaClustR/issues
Imports: broom, dplyr, ggplot2, magrittr, methods, mvtnorm, plyr,
        purrr, Rcpp, rlang, stats, tibble, tidyr, tidyselect
Suggests: gganimate, gifski, gridExtra, knitr, plotly, png, rmarkdown,
        testthat (>= 3.0.0), transformr
LinkingTo: Rcpp
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.3
Depends: R (>= 2.10)
NeedsCompilation: yes
Packaged: 2024-06-28 20:01:23 UTC; Arthur Leroy
Author: Arthur Leroy [aut, cre] (<https://orcid.org/0000-0003-0806-8934>),
  Pierre Latouche [aut],
  Pierre Pathé [ctb],
  Alexia Grenouillat [ctb],
  Hugo Lelievre [ctb]
Maintainer: Arthur Leroy <arthur.leroy.pro@gmail.com>
Repository: CRAN
Date/Publication: 2024-06-28 20:20:02 UTC
Built: R 4.6.0; x86_64-w64-mingw32; 2026-05-04 03:44:25 UTC; windows
Archs: x64
