Congrats on the publication of the package, I'm looking forward to testing it out. While working with the Python version, I found that on line 275 of lmm.py you are doubling the p-value twice, resulting in p-values > 1: ```python pval = 2 * t_dist.sf(np.abs(tval), df=n - p) * 2 ``` It seems to be correct in the R version: ```r pval <- 2 * pt(-abs(tval), df = n-p) ```
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