Cramér's V can be a heavily biased estimator of its population counterpart and will tend to overestimate the strength of association. A bias correction, using the above notation, is given by:
Is it possible to have a parameter in your CramerV() class that makes the method use this correction? Did you give that any thought when implementing the package? As in: is that correction even necessary?
According to the wikipedia article on Cramer's V:
Is it possible to have a parameter in your
CramerV()
class that makes the method use this correction? Did you give that any thought when implementing the package? As in: is that correction even necessary?Thank you.