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modelbased: An R package to make the most out of your statistical models through marginal means, marginal effects, and model predictions
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AutoEIS: Automated equivalent circuit modeling from electrochemical impedance spectroscopy data using statistical machine learning
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spatPomp: An R package for spatiotemporal partially observed Markov process models
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scores: A Python package for verifying and evaluating models and predictions with xarray
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Multivariate Covariance Generalized Linear Models in Python: The mcglm library
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pivmet: an R package proposing pivotal methods for consensus clustering and mixture modelling
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