ENH use log1p and expm1 in Yeo-Johnson transformation and its inverse #27868
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Reference Issues/PRs
What does this implement/fix? Explain your changes.
This PR was inspired by scipy's YJ transformation and also implement its inverse.
https://github.com/scipy/scipy/blob/fcf7b652bc27e47d215557bda61c84d19adc3aae/scipy/stats/_morestats.py#L1495-L1516
Specifically, if$\lambda=1$ , we could skip the computation and return x directly.
Any other comments?
The formula of YJ transformation
