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>.
A small, maintenance release.
Moved from the
broom package to the
generics package to get the
ggplot2 was moved to Suggests
tidy method was more explicitly exported so that the
generics man files show the method.
The large RData objects containing the examples have been removed from the package and are accessible via a link to the GitHub repo.