CRAN/E | tidyposterior

tidyposterior

Bayesian Analysis to Compare Models using Resampling Statistics

Installation

About

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) .

tidyposterior.tidymodels.org
github.com/tidymodels/tidyposterior
Bug report File report

Key Metrics

Version 1.0.1
R ≥ 3.6
Published 2023-10-11 205 days ago
Needs compilation? no
License MIT
License File
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Maintainer

Maintainer

Max Kuhn

max@posit.co

Authors

Max Kuhn

aut / cre

Posit Software
PBC

cph / fnd

Material

NEWS
Reference manual
Package source

Vignettes

Introduction to tidyposterior

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

tidyposterior archive

Depends

R ≥ 3.6

Imports

dplyr
> 1.0.0
generics
ggplot2
purrr
rlang
rsample ≥0.0.2
rstanarm ≥ 2.21.1
stats
tibble
tidyr ≥ 0.7.1
tune ≥ 0.2.0
utils
vctrs ≥ 0.3.0
workflowsets

Suggests

covr
knitr
parsnip
rmarkdown
testthat ≥ 3.0.0
yardstick