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tidyposterior (version 0.0.3)

Bayesian Analysis to Compare Models using Resampling Statistics

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) .

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Install

install.packages('tidyposterior')

Monthly Downloads

338

Version

0.0.3

License

GPL-2

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Maintainer

Max Kuhn

Last Published

June 11th, 2020

Functions in tidyposterior (0.0.3)

no_trans

Simple Transformation Functions
contrast_models

Estimate the Difference Between Models
reexports

Objects exported from other packages
vec_restore.posterior

Extra methods for the posterior class to work with dplyr verbs
vec_restore.posterior_diff

Extra methods for the posterior_diff class to work with dplyr verbs
ggplot.posterior

Visualize the Posterior Distributions of Model Statistics
perf_mod

Bayesian Analysis of Resampling Statistics
ggplot.posterior_diff

Visualize the Posterior Distributions of Model Differences
tidy.perf_mod

Extract Posterior Distributions for Models
summary.posterior

Summarize the Posterior Distributions of Model Statistics
precise_example

Example Data Sets
summary.posterior_diff

Summarize Posterior Distributions of Model Differences