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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-post-staging / r-tidyposterior
Type Size Name Uploaded Downloads Labels
conda 376.6 kB | noarch/r-tidyposterior-1.0.0-r42hc72bb7e_2.conda  2 years and 2 months ago 1691 main
conda 376.3 kB | noarch/r-tidyposterior-1.0.0-r43hc72bb7e_2.conda  2 years and 2 months ago 1578 main
conda 386.6 kB | noarch/r-tidyposterior-1.0.0-r41hc72bb7e_1.tar.bz2  2 years and 9 months ago 1703 main
conda 386.8 kB | noarch/r-tidyposterior-1.0.0-r42hc72bb7e_1.tar.bz2  2 years and 9 months ago 1780 main
conda 386.5 kB | noarch/r-tidyposterior-1.0.0-r40hc72bb7e_0.tar.bz2  3 years and 1 month ago 2141 main
conda 386.8 kB | noarch/r-tidyposterior-1.0.0-r41hc72bb7e_0.tar.bz2  3 years and 1 month ago 2186 main

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