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>).

Allows calculation on, and
 sampling from Gibbs Random Fields, and more precisely general
 homogeneous Potts model. The primary tool is the exact computation of
 the intractable normalising constant for small rectangular lattices.
 Beside the latter function, it contains method that give exact sample from the likelihood
 for small enough rectangular lattices or approximate sample from the
 likelihood using MCMC samplers for large lattices.

Tools to download data from the GISCO (Geographic Information
    System of the Commission) Eurostat database
    <https://ec.europa.eu/eurostat/web/gisco>. Global and European map
    data available.  This package is in no way officially related to or
    endorsed by Eurostat.

Designed to facilitate the preprocessing and linking of GIS (Geographic Information System) databases
  <https://www.sciencedirect.com/topics/computer-science/gis-database>,
  the R package 'GISINTEGRATION' offers a robust solution for efficiently preparing  GIS data for advanced 
  spatial analyses. This package excels in simplifying intrica  procedures like data cleaning, normalization, 
  and format conversion, ensuring that the data are optimally primed for precise and thorough analysis.

A collection of GIS (Geographic Information System) functions in R, created for use in Statistics Norway. The functions are primarily related to network analysis on the Norwegian road network.