While we're talking about stats and Python could I convince someone here to implement a fast medcouple for statsmodels? I can't do it myself because I read R's GPL'ed code in order to understand the algorithm. Using my understanding, I wrote the following high-level description of it:
This should be taken as the design spec of a clean-room reverse engineering, so that we can have a free, fast and non-copylefted implementation. It's not that I have a problem with copyleft (in fact, I prefer it), but I really want statsmodels to fix their implementation, and they're GPL-phobic.
Since Seaborn has boxplots, implementing an adjusted boxplot seems relevant.
edit: Oh, one more thing. I'd love any feedback on how to improve the "design spec", in case I wasn't able to make it clear enough.
https://en.wikipedia.org/wiki/Medcouple
This should be taken as the design spec of a clean-room reverse engineering, so that we can have a free, fast and non-copylefted implementation. It's not that I have a problem with copyleft (in fact, I prefer it), but I really want statsmodels to fix their implementation, and they're GPL-phobic.
Since Seaborn has boxplots, implementing an adjusted boxplot seems relevant.
edit: Oh, one more thing. I'd love any feedback on how to improve the "design spec", in case I wasn't able to make it clear enough.