Imports: httr, shiny, miniUI, tibble, rstudioapi, utils, dplyr, purrr

Authors@R: person("Hao", "Zhu", email = "haozhu233@gmail.com",

Title: Gaussian Model Invariant by Permutation Symmetry
person("Przemysław", "Chojecki", , "premysl.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",
Description: Find the permutation symmetry group such that the covariance
matrix of the given data is 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>.
Imports: numbers, permutations, rlang, utils
Suggests: DAAG, dplyr, ggplot2, graphics, HSAUR, knitr, MASS (>=
7.3-39), rmarkdown, spelling, stringi, testthat (>= 3.0.0),

Title: Download Geospatial Data from GISCO API - Eurostat
person("Diego", "Hernangómez", role=c("aut", "cre"), email="diego.hernangomezherrero@gmail.com", comment=c(ORCID="0000-0001-8457-4658")))
Description: Tools to download data from the GISCO
(Geographic Information System of the Commission) Eurostat database
This package is in no way officially related to or endorsed by Eurostat.
Imports: sf (>= 0.9), countrycode (>= 1.2.0), geojsonsf (>= 2.0)
Suggests: cartography (>= 2.0.0), colorspace, eurostat, lwgeom,
Packaged: 2020-10-06 12:02:04 UTC; rstudio-user
Author: Diego Hernangómez [aut, cre] (<https://orcid.org/0000-0001-8457-4658>)

Suggests: cartography (>= 2.0.0), colorspace, lwgeom, tinytest, knitr,
Packaged: 2020-10-28 07:43:47 UTC; rstudio-user

Title: Download Map Data from GISCO API - Eurostat
comment = "for the administrative boundaries."),
comment = c(ORCID = "0000-0003-2042-7063","for the gisco_countrycode dataset."))
<https://ec.europa.eu/eurostat/web/gisco>. Global and European map data available.
Suggests: cartography (>= 2.4), lwgeom, tinytest, knitr, rmarkdown
EuroGraphics [cph] (for the administrative boundaries.),