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conda-forge / packages / r-tidyposterior 1.0.1

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

Installers

Info: This package contains files in non-standard labels.
  • noarch v1.0.1
  • linux-64 v0.0.2
  • osx-64 v0.0.2

conda install

To install this package run one of the following:
conda install conda-forge::r-tidyposterior
conda install conda-forge/label/cf201901::r-tidyposterior
conda install conda-forge/label/cf202003::r-tidyposterior
conda install conda-forge/label/gcc7::r-tidyposterior

Description


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