- Allow all kind of floats for binned inputs by @jjakob03 in #55
- Open right side of the bin to follow numpy convention by @dachengx in #56
- Fix plotting of approximately equiprobable bins by @hammannr in #51
- Use pre-commit CI by @hammannr in #52
- Should throw error when count_density mode with x or y limit specified by @dachengx in #46
- Fix location of sklearn's DistanceMetric by @dachengx in #48
- Add colorbar switch, set 2D histogram x&y limit by @dachengx in #39
- Some plotting bug fixes by @hoetzsch in #41
- Homemade equiprobable_binning, still based on ECDF by @dachengx in #43
- a few patches by @hammannr in #38
- Exercise notebook by @hammannr in #44
- Add an example notebook that can be used as a guide when using the package for the first time (#29)
- Improve and extend plotting of equiprobable binnings. This adds the option of plotting the binwise count density (#35)
- Multiple GOF tests (binned and unbinned) can be performed (#1, #5, #10, #12, #13)
- The p-value is calculated based on toy sampling from the reference or a permutation test (#2, #14)
- A wrapper class makes it convenient to perform multiple GOF tests in parallel (#19)
- An equiprobable binning algorithm is implemented. The binning can be applied upon initialisation of the GOF object and a few visualization tools are provided. (#25, #26)
- CI workflow implemented (#7)