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conda-forge / packages / r-tidyposterior

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>.

copied from cf-staging / r-tidyposterior
Type Size Name Uploaded Downloads Labels
conda 351.0 kB | noarch/r-tidyposterior-1.0.1-r44hc72bb7e_1.conda  4 months and 23 days ago 453 main
conda 349.9 kB | noarch/r-tidyposterior-1.0.1-r43hc72bb7e_1.conda  4 months and 23 days ago 476 main
conda 349.5 kB | noarch/r-tidyposterior-1.0.1-r43hc72bb7e_0.conda  1 year and 5 months ago 1324 main
conda 349.9 kB | noarch/r-tidyposterior-1.0.1-r42hc72bb7e_0.conda  1 year and 5 months ago 1144 main

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