v5.1.5
Added
- Warn when fewer than 50 samples enter the LMM (after phenotype/covariate filtering). LMM-based GWAS has insufficient statistical power below this scale, and JAMMA's batch golden-section lambda optimizer assumes unimodal log-likelihoods — an assumption most likely to fail at very small n. The warning fires once per run from both the pipeline (CLI) and
run_lmm()(programmatic API). Seedocs/GEMMA_DIVERGENCES.md§6.
Full changelog: https://github.com/michael-denyer/jamma/blob/master/CHANGELOG.md