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) < http://jmlr.org/papers/v18/16-305.html>.


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install.packages("tidyposterior")

0.0.1 by Max Kuhn, 9 days ago


https://topepo.github.io/tidyposterior


Report a bug at https://github.com/topepo/tidyposterior/issues


Browse source code at https://github.com/cran/tidyposterior


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


Documentation:   PDF Manual  


GPL-2 license


Imports rsample, tidyr, dplyr, rstanarm, rlang, utils, purrr, tibble

Depends on ggplot2, broom

Suggests knitr, testthat, covr


See at CRAN