PrzeChoj/gips
gips - Gaussian model Invariant by Permutation Symmetry
When analyzing multivariate Gaussian data, this R package helps you find hidden permutation symmetries among your variables. It takes your raw data or estimated covariance matrix and identifies patterns where variables behave similarly. This is particularly useful for data scientists and researchers working with complex datasets where the number of variables is much larger than the number of observations.
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Use this if you need to stabilize covariance matrix estimation or explore hidden relationships between variables in high-dimensional Gaussian data.
Not ideal if your data is not multivariate Gaussian or if you have many more observations than variables, as standard covariance estimation methods might suffice.
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R
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GPL-3.0
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Last pushed
Mar 18, 2025
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