ACCLAB / DABEST-python

Data Analysis with Bootstrapped ESTimation
https://acclab.github.io/DABEST-python/
Apache License 2.0
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WIP: Adding Likelihood Q Ratio Test (LQRT) #85

Closed adam2392 closed 4 years ago

adam2392 commented 4 years ago

Addresses: #83

Description: This is a PR that adds the LQRT robust statistical test, which is proven in [1] to be more robust in terms of power for fixed alpha level compared to both the t-test and the Wilcoxon rank-sum test. The python package at: https://github.com/alyakin314/lqrt implements this in Python in both 1-sample and 2-sample case with the possibility of unequal variances to be as general as possible.

Currently work in progress.

References: [1]: Qin, Yichen & E. Priebe, Carey. (2017). Robust Hypothesis Testing via Lq-Likelihood. Statistica Sinica. 27. 10.5705/ss.202015.0441.

adam2392 commented 4 years ago

Let me know what else would be necessary at this point to move this into the release stage. I would love to get this working to use for myself :p.

josesho commented 4 years ago

Hi @adam2392 ,

Tests are passing, great! Here's what's left to do.

TODO: