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tidyposterior (version 0.0.2)

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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Version

Install

install.packages('tidyposterior')

Monthly Downloads

338

Version

0.0.2

License

GPL-2

Maintainer

Max Kuhn

Last Published

November 15th, 2018

Functions in tidyposterior (0.0.2)

precise_example

Example Data Sets
summary.posterior_diff

Summarize Posterior Distributions of Model Differences
ggplot.posterior

Visualize the Posterior Distributions of Model Statistics
reexports

Objects exported from other packages
perf_mod

Bayesian Analysis of Resampling Statistics
tidy.perf_mod

Extract Posterior Distributions for Models
no_trans

Simple Transformation Functions
ggplot.posterior_diff

Visualize the Posterior Distributions of Model Differences
contrast_models

Estimate the Difference Between Models
summary.posterior

Summarize the Posterior Distributions of Model Statistics