tidyposterior v0.0.2


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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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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
NeedsCompilation no
Packaged 2018-11-15 19:50:59 UTC; max
Repository CRAN
Date/Publication 2018-11-15 20:20:03 UTC

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