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tidyposterior  

Bayesian Analysis to Compare Models using Resampling Statistics
View on CRAN: Click here


Download and install tidyposterior package within the R console
Install from CRAN:
install.packages("tidyposterior")

Install from Github:
library("remotes")
install_github("cran/tidyposterior")

Install by package version:
library("remotes")
install_version("tidyposterior", "1.0.1")



Attach the package and use:
library("tidyposterior")
Maintained by
Max Kuhn
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-11-14
Latest Update: 2023-10-11
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) <https://jmlr.org/papers/v18/16-305.html>.
How to cite:
Max Kuhn (2017). tidyposterior: Bayesian Analysis to Compare Models using Resampling Statistics. R package version 1.0.1, https://cran.r-project.org/web/packages/tidyposterior
Previous versions and publish date:
0.0.1 (2017-11-14 19:55), 0.0.2 (2018-11-15 21:20), 0.0.3 (2020-06-11 19:30), 0.1.0 (2021-03-25 14:20), 1.0.0 (2022-06-23 22:20)
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