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tidyposterior

Bayesian Analysis to Compare Models using Resampling Statistics

v1.0.2 · Jul 31, 2025 · MIT + file LICENSE

Description

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

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Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Dependency Network

Dependencies Reverse dependencies dplyr generics ggplot2 purrr rlang rsample rstanarm tibble tidyr tune vctrs workflowsets tidyposterior

Version History

new 1.0.2 Mar 10, 2026
updated 1.0.2 ← 1.0.1 diff Jul 30, 2025
updated 1.0.1 ← 1.0.0 diff Oct 10, 2023
updated 1.0.0 ← 0.1.0 diff Jun 22, 2022
updated 0.1.0 ← 0.0.3 diff Mar 24, 2021
updated 0.0.3 ← 0.0.2 diff Jun 10, 2020
updated 0.0.2 ← 0.0.1 diff Nov 14, 2018
new 0.0.1 Nov 13, 2017