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Diff for: R/gips_class.R

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#' For analysis of the Hyperparameters influence, see **Section 3.2.**
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#' of "Learning permutation symmetries with gips in R"
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#' by `gips` developers Adam Chojecki, Paweł Morgen, and Bartosz Kołodziejek,
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#' [Journal of Statistical Software](https://doi.org/10.18637/jss.v112.i07).
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#' [Journal of Statistical Software](<doi:10.18637/jss.v112.i07>).
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#'
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#' @returns `gips()` returns an object of
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#' a `gips` class after the safety checks.

Diff for: README.Rmd

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For more examples and introduction, see `vignette("gips", package="gips")` or its [pkgdown page](https://przechoj.github.io/gips/articles/gips.html).
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For an in-depth analysis of the package performance, capabilities, and comparison with similar packages, see the article "Learning permutation symmetries with gips in R" by `gips` developers Adam Chojecki, Paweł Morgen, and Bartosz Kołodziejek, [Journal of Statistical Software](https://doi.org/10.18637/jss.v112.i07).
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For an in-depth analysis of the package performance, capabilities, and comparison with similar packages, see the article "Learning permutation symmetries with gips in R" by `gips` developers Adam Chojecki, Paweł Morgen, and Bartosz Kołodziejek, [Journal of Statistical Software](<doi:10.18637/jss.v112.i07>).
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# Acknowledgment

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comparison with similar packages, see the article “Learning permutation
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symmetries with gips in R” by `gips` developers Adam Chojecki, Paweł
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Morgen, and Bartosz Kołodziejek, [Journal of Statistical
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Software](https://doi.org/10.18637/jss.v112.i07).
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Software](doi:10.18637/jss.v112.i07).
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# Acknowledgment
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Diff for: man/gips.Rd

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Diff for: vignettes/Optimizers.Rmd

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[1] Piotr Graczyk, Hideyuki Ishi, Bartosz Kołodziejek, Hélène Massam. "Model selection in the space of Gaussian models invariant by symmetry." The Annals of Statistics, 50(3) 1747-1774 June 2022. [arXiv link](https://arxiv.org/abs/2004.03503); [DOI: 10.1214/22-AOS2174](https://doi.org/10.1214/22-AOS2174)
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[2] "Learning permutation symmetries with gips in R" by `gips` developers Adam Chojecki, Paweł Morgen, and Bartosz Kołodziejek, [Journal of Statistical Software](https://doi.org/10.18637/jss.v112.i07).
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[2] "Learning permutation symmetries with gips in R" by `gips` developers Adam Chojecki, Paweł Morgen, and Bartosz Kołodziejek, [Journal of Statistical Software](<doi:10.18637/jss.v112.i07>).
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```{r options_back, include = FALSE}
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options(old_options) # back to the original options

Diff for: vignettes/Theory.Rmd

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[1] Piotr Graczyk, Hideyuki Ishi, Bartosz Kołodziejek, Hélène Massam. "Model selection in the space of Gaussian models invariant by symmetry." The Annals of Statistics, 50(3) 1747-1774 June 2022. [arXiv link](https://arxiv.org/abs/2004.03503); [DOI: 10.1214/22-AOS2174](https://doi.org/10.1214/22-AOS2174)
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[2] "Learning permutation symmetries with gips in R" by `gips` developers Adam Chojecki, Paweł Morgen, and Bartosz Kołodziejek, [Journal of Statistical Software](https://doi.org/10.18637/jss.v112.i07).
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[2] "Learning permutation symmetries with gips in R" by `gips` developers Adam Chojecki, Paweł Morgen, and Bartosz Kołodziejek, [Journal of Statistical Software](<doi:10.18637/jss.v112.i07>).

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This package provides a way to find a *reasonable* permutation to be used as a constraint in covariance matrix estimation. In this case, *reasonable* means maximizing the Bayesian posterior distribution when using a Wishart-like distribution on symmetric, positive definite matrices as a prior. The idea, exact formulas, and algorithm sketch are explored in another vignette that can be accessed by `vignette("Theory", package="gips")` or on its [pkgdown page](https://przechoj.github.io/gips/articles/Theory.html).
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For an in-depth analysis of the package performance, capabilities, and comparison with other packages, see the article "Learning permutation symmetries with gips in R" by `gips`' developers Adam Chojecki, Paweł Morgen, and Bartosz Kołodziejek, [Journal of Statistical Software](https://doi.org/10.18637/jss.v112.i07).
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For an in-depth analysis of the package performance, capabilities, and comparison with other packages, see the article "Learning permutation symmetries with gips in R" by `gips`' developers Adam Chojecki, Paweł Morgen, and Bartosz Kołodziejek, [Journal of Statistical Software](<doi:10.18637/jss.v112.i07>).
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# Practical example
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1. To learn more about the available optimizers in `find_MAP()` and how to use those, see `vignette("Optimizers", package="gips")` or its [pkgdown page](https://przechoj.github.io/gips/articles/Optimizers.html).
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2. To learn more about the math and theory behind the `gips` package, see `vignette("Theory", package="gips")` or its [pkgdown page](https://przechoj.github.io/gips/articles/Theory.html).
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3. For an in-depth analysis of the package performance, capabilities, and comparison with other packages, see the article "Learning permutation symmetries with gips in R" by `gips` developers Adam Chojecki, Paweł Morgen, and Bartosz Kołodziejek, [Journal of Statistical Software](https://doi.org/10.18637/jss.v112.i07).
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3. For an in-depth analysis of the package performance, capabilities, and comparison with other packages, see the article "Learning permutation symmetries with gips in R" by `gips` developers Adam Chojecki, Paweł Morgen, and Bartosz Kołodziejek, [Journal of Statistical Software](<doi:10.18637/jss.v112.i07>).
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```{r options_back, include = FALSE}
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options(old_options) # back to the original options

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