Bayesian Analysis to Compare Models using Resampling Statistics

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) <>.


tidyposterior 0.0.2

A small, maintenance release.

Minor bug fixes and improvements

  • Moved from the broom package to the generics package to get the tidy generic.

  • ggplot2 was moved to Suggests

  • The sole tidy method was more explicitly exported so that the generics man files show the method.

  • The large RData objects containing the examples have been removed from the package and are accessible via a link to the GitHub repo.

tidyposterior 0.0.1

  • First CRAN submission

Reference manual

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0.1.0 by Max Kuhn, 10 months ago,

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Browse source code at

Authors: Max Kuhn [aut, cre] , RStudio [cph]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports rsample, tidyr, dplyr, rstanarm, rlang, utils, purrr, tibble, generics, ggplot2, vctrs, tune, workflowsets

Suggests knitr, testthat, covr, parsnip, yardstick, rmarkdown

See at CRAN