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LRydin / KramersMoyal

kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order
MIT License
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Clarifying normalization #10

Closed jasnyder closed 4 years ago

jasnyder commented 4 years ago

First, thank you so much for writing this package! Being able to quickly call a function to compute KM coefficients has been a considerable help in my current research.

I have a clarification to suggest in the main README.md regarding the normalization. Currently it is stated that one should multiply kmc by delta_t to obtain the actual Kramers-Moyal coefficients, but if I understand correctly one should in fact divide by delta_t.

LRydin commented 4 years ago

You are absolutely correct! You do indeed need to divide, not multiply. I will get that corrected right away before inducing someone else in error. Thanks!

LRydin commented 4 years ago

Thank you for the correction @jasnyder . I'd be happy for any other comments and remarks you might have on the package, as there are still a few things that could be improved :)