tidyposterior v0.0.2

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by Max Kuhn View Source

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>.

Functions in tidyposterior

Name	Description
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
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Vignettes of tidyposterior

Name
Different_Bayesian_Models.Rmd
Getting_Started.Rmd
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Details

License	GPL-2
URL	https://tidymodels.github.io/tidyposterior
BugReports	https://github.com/tidymodels/tidyposterior/issues
VignetteBuilder	knitr
Encoding	UTF-8
LazyData	true
ByteCompile	true
RoxygenNote	6.1.0.9000
NeedsCompilation	no
Packaged	2018-11-15 19:50:59 UTC; max
Repository	CRAN
Date/Publication	2018-11-15 20:20:03 UTC

imports	, dplyr , generics , ggplot2 , purrr , rlang , rsample (>= 0.0.2) , rstanarm (>= 2.15.3) , tibble , tidyr (>= 0.7.1) , utils
suggests	covr , knitr , testthat
depends	R (>= 2.10)
Contributors	RStudio