tidyposterior1.0.2 package

Bayesian Analysis to Compare Models using Resampling Statistics

autoplot.posterior

Visualize the Posterior Distributions of Model Statistics

autoplot.posterior_diff

Visualize the Posterior Distributions of Model Differences

contrast_models

Estimate the Difference Between Models

perf_mod

Bayesian Analysis of Resampling Statistics

reexports

Objects exported from other packages

summary.posterior

Summarize the Posterior Distributions of Model Statistics

summary.posterior_diff

Summarize Posterior Distributions of Model Differences

tidy.perf_mod

Extract Posterior Distributions for Models

tidyposterior-package

tidyposterior: Bayesian Analysis to Compare Models using Resampling St...

transformations

Simple Transformation Functions

vctrs_methods_posterior

Extra methods for the posterior class to work with dplyr verbs

vctrs_methods_posterior_diff

Extra methods for the posterior_diff class to work with dplyr verbs

Download source packageRead PDF manual

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>.

  • Maintainer: Max Kuhn
  • License: MIT + file LICENSE
  • Last published: 2025-07-31

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