Multivariate Covariance Generalized Linear Models in Python: The mcglm library

Python R Jupyter Notebook JavaScript Submitted 11 August 2023Published 27 June 2024
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Editor: @crvernon (all papers)
Reviewers: @Spaak (all reviews), @bkrayfield (all reviews)

Authors

Jean Carlos Faoot Maia (0009-0001-3747-0669), Wagner Hugo Bonat (0000-0002-0349-7054)

Citation

Maia et al., (2024). Multivariate Covariance Generalized Linear Models in Python: The mcglm library. Journal of Open Source Software, 9(98), 6037, https://doi.org/10.21105/joss.06037

@article{Maia2024, doi = {10.21105/joss.06037}, url = {https://doi.org/10.21105/joss.06037}, year = {2024}, publisher = {The Open Journal}, volume = {9}, number = {98}, pages = {6037}, author = {Jean Carlos Faoot Maia and Wagner Hugo Bonat}, title = {Multivariate Covariance Generalized Linear Models in Python: The mcglm library}, journal = {Journal of Open Source Software} }
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statistical models multivariate statistical analysis longitudinal data analysis MCGLM GLM statsmodels

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ISSN 2475-9066