[NoTranslationL]

Do you mean for menstrual data specifically?

Currently for general data there is pearson correlation, five different anomaly detection algorithms, and T tests for significance among other things.

The work in progress we have for menstrual tracking takes temperature, flow, and past grund truth data into account. I know that’s vague, and it’s because my partner is working on it, not me :)

When we release the cycle tracking we’ll have a full writeup