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r-tidyposterior

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Bayesian analysis used here to answer the question: "when looking at resampling results, are the differences between models 'real'?" To answer this, a model can be created were the performance statistic is the resampling statistics (e.g. accuracy or RMSE). These values are explained by the model types. In doing this, we can get parameter estimates for each model's affect on performance and make statistical (and practical) comparisons between models. The methods included here are similar to Benavoli et al (2017) <http://jmlr.org/papers/v18/16-305.html>.

Installation

To install this package, run one of the following:

Conda
$conda install conda-forge::r-tidyposterior

Usage Tracking

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About

Summary

Bayesian analysis used here to answer the question: "when looking at resampling results, are the differences between models 'real'?" To answer this, a model can be created were the performance statistic is the resampling statistics (e.g. accuracy or RMSE). These values are explained by the model types. In doing this, we can get parameter estimates for each model's affect on performance and make statistical (and practical) comparisons between models. The methods included here are similar to Benavoli et al (2017) <http://jmlr.org/papers/v18/16-305.html>.

Last Updated

Jul 31, 2025 at 20:27

License

MIT

Supported Platforms

noarch

Unsupported Platforms

linux-64 Last supported version: 0.0.2
macOS-64 Last supported version: 0.0.2