tidyposterior
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) https://jmlr.org/papers/v18/16-305.html.
- Version1.0.1
- R version≥ 3.6
- LicenseMIT
- LicenseLICENSE
- Needs compilation?No
- Last release10/11/2023
Documentation
Team
Max Kuhn
MaintainerShow author detailsPosit Software, PBC
Insights
Last 30 days
This package has been downloaded 481 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 6 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 6,154 times in the last 365 days. A solid achievement! Enough downloads to get noticed at department meetings. The day with the most downloads was Jul 21, 2024 with 148 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
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Dependencies
- Imports12 packages
- Suggests6 packages