Type: Package
Package: gips
Title: Gaussian Model Invariant by Permutation Symmetry
Version: 1.2.3
Authors@R: c(
    person(c("Adam", "Przemysław"), "Chojecki", , "adam.prze.choj@gmail.com", role = c("aut", "cre")),
    person("Paweł", "Morgen", , "seriousmorgen@protonmail.com", role = "aut"),
    person("Bartosz", "Kołodziejek", , "b.kolodziejek@mini.pw.edu.pl", role = "aut",
           comment = c(ORCID = "0000-0002-5220-9012"))
  )
Description: Find the permutation symmetry group such that the covariance
    matrix of the given data is approximately invariant under it.
    Discovering such a permutation decreases the number of observations
    needed to fit a Gaussian model, which is of great use when it is
    smaller than the number of variables. Even if that is not the case,
    the covariance matrix found with 'gips' approximates the actual
    covariance with less statistical error. The methods implemented in
    this package are described in Graczyk et al. (2022)
    <doi:10.1214/22-AOS2174>. Documentation about 'gips' is
    provided via its website at <https://przechoj.github.io/gips/> and
    the paper by Chojecki, Morgen, Kołodziejek
    (2025, <doi:10.18637/jss.v112.i07>).
License: GPL (>= 3)
URL: https://github.com/PrzeChoj/gips, https://przechoj.github.io/gips/
BugReports: https://github.com/PrzeChoj/gips/issues
Depends: R (>= 3.5.0)
Imports: numbers, permutations, rlang (>= 0.4.10), utils
Suggests: DAAG, dplyr, ggplot2, graphics, hash, HSAUR2, knitr, MASS (>=
        7.3-39), mvtnorm, rmarkdown, spelling, stringi, testthat (>=
        3.0.0), tibble, tidyr, withr
VignetteBuilder: knitr
Config/testthat/edition: 3
Encoding: UTF-8
Language: en-US
RoxygenNote: 7.3.2
NeedsCompilation: no
Packaged: 2025-03-17 21:10:33 UTC; adam
Author: Adam Przemysław Chojecki [aut, cre],
  Paweł Morgen [aut],
  Bartosz Kołodziejek [aut] (<https://orcid.org/0000-0002-5220-9012>)
Maintainer: Adam Przemysław Chojecki <adam.prze.choj@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-18 08:30:10 UTC
Built: R 4.5.2; ; 2025-11-08 03:17:19 UTC; windows
