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The tendency of the density estimation to go down at the edges can cause confusing graphs, especially for situations where the data set is small. Would it be possible to change this to use a boundary-corrected kernel density estimator, such as kde.boundary in https://cran.r-project.org/web/packages/ks/ or bckden in https://rdrr.io/cran/evmix/man/bckden.html ?
The text was updated successfully, but these errors were encountered:
This has been on our todo list, but not with high priority. If you have tried either of these function you propose, it would be great if you can include an example of how to use them and how the plot would look like for an uniform data.
The tendency of the density estimation to go down at the edges can cause confusing graphs, especially for situations where the data set is small. Would it be possible to change this to use a boundary-corrected kernel density estimator, such as kde.boundary in https://cran.r-project.org/web/packages/ks/ or bckden in https://rdrr.io/cran/evmix/man/bckden.html ?
The text was updated successfully, but these errors were encountered: