### Install RegularizedCovarianceMatrices.jl

Source: https://github.com/raphasampaio/regularizedcovariancematrices.jl/blob/main/README.md

Installs the RegularizedCovarianceMatrices package using the Julia package manager.

```julia
julia> ] add RegularizedCovarianceMatrices
```

--------------------------------

### Install RegularizedCovarianceMatrices.jl

Source: https://github.com/raphasampaio/regularizedcovariancematrices.jl/blob/main/docs/src/index.md

Instructions to add the RegularizedCovarianceMatrices package to your Julia environment using the Pkg manager.

```julia
using Pkg
Pkg.add("RegularizedCovarianceMatrices")
```

--------------------------------

### Citation for Regularization and Optimization in Model-Based Clustering

Source: https://github.com/raphasampaio/regularizedcovariancematrices.jl/blob/main/README.md

Provides the BibTeX entry for the paper 'Regularization and optimization in model-based clustering' by Sampaio et al., relevant for citing the package's underlying research.

```bibtex
@article{sampaio2024regularization,
  title={Regularization and optimization in model-based clustering},
  author={Sampaio, Raphael Araujo and Garcia, Joaquim Dias and Poggi, Marcus and Vidal, Thibaut},
  journal={Pattern Recognition},
  pages={110310},
  year={2024},
  publisher={Elsevier}
}
```

--------------------------------

### Estimate Covariance Matrix with ShrunkCovarianceMatrix

Source: https://github.com/raphasampaio/regularizedcovariancematrices.jl/blob/main/README.md

Demonstrates how to use the ShrunkCovarianceMatrix estimator to compute a regularized covariance matrix from sample data. It requires the `RegularizedCovarianceMatrices` package and sample data.

```julia
using RegularizedCovarianceMatrices

n = 100
d = 2

data = rand(n, d)

estimator = ShrunkCovarianceMatrix(n, d, 0.1)
covariance_matrix = RegularizedCovarianceMatrices.fit(estimator, data)

```

--------------------------------

### Citation for RegularizedCovarianceMatrices.jl

Source: https://github.com/raphasampaio/regularizedcovariancematrices.jl/blob/main/docs/src/index.md

BibTeX entry for citing the RegularizedCovarianceMatrices.jl package in academic publications. The associated paper focuses on regularization and global optimization in model-based clustering.

```bibtex
@article{sampaio2023regularization,
  title={Regularization and Global Optimization in Model-Based Clustering},
  author={Sampaio, Raphael Araujo and Garcia, Joaquim Dias and Poggi, Marcus and Vidal, Thibaut},
  journal={arXiv preprint arXiv:2302.02450},
  year={2023}
}
```

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