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16 changes: 15 additions & 1 deletion paper/paper.bib
Original file line number Diff line number Diff line change
Expand Up @@ -119,7 +119,7 @@ @article{huber_bioconductor_2015
}

@misc{glmjl,
title = {{GLM.jl}: Linear and Generalized Linear Models in Julia},
title = {{GLM.jl}: Linear and Generalized Linear Models in {J}ulia},
author = {Bates, Douglas and others},
year = {2024},
howpublished = {\url{https://github.com/JuliaStats/GLM.jl}}
Expand Down Expand Up @@ -195,4 +195,18 @@ @article{olivoto_metan_2020
month = jun,
year = {2020},
pages = {783--789},
}

@article{julia,
doi = {10.1137/141000671},
url = {https://doi.org/10.1137%2F141000671},
year = 2017,
month = {jan},
publisher = {Society for Industrial {\&} Applied Mathematics ({SIAM})},
volume = {59},
number = {1},
pages = {65--98},
author = {Jeff Bezanson and Alan Edelman and Stefan Karpinski and Viral B. Shah},
title = {{J}ulia: A Fresh Approach to Numerical Computing},
journal = {{SIAM} Review}
}
2 changes: 1 addition & 1 deletion paper/paper.md
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Expand Up @@ -41,7 +41,7 @@ bibliography: paper.bib

# Summary

`MatrixLM` is an open-source Julia package for fitting matrix linear
`MatrixLM` is an open-source Julia [@julia] package for fitting matrix linear
models, which extend classical linear regression to a bilinear
framework for matrix-valued responses. It is designed for analyzing
high-throughput assays in which both rows and columns of the
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