cutpointr
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Thie1e
Optimal cutpoints in R: determining and validating optimal cutpoints in binary classification
CI functionality could be added to `plot_roc`, see #43.
The current default is `use_midpoints = FALSE`. However, as the Readme and the vignette illustrate, this leads to a certain bias when methods other than the normal or kernel method...
As suggested in #8, we could plot facets per subgroup instead of distinguishing subgroups by linetype.
As soon as the patchwork package is on CRAN, `plot.cutpointr` should use that package instead of gridExtra. That way, all plots that are generated by cutpointr will be ggplot objects...
Dear @Thie1e, When using cutpointr, I obtained better results when using method = oc_youden_kernel becasue the two classes are not normally distributed. When using default method = maximize_metric, is empical...
Hi Christian: When developing a diagnostic test, it is common to have [three regions](https://www.nature.com/articles/s43587-023-00471-5): eg high confident negative, ambiguous, and high confident positive. Two cutpoints cp1 and cp2 would accomplish...
Dear Christian, I am having a strange experience using cutpointr 1.1.2. In case it is relevant, I am working in RStudio 2024.04.2 Build 764, running R 4.4.1 on WIndows 10...
