genetic value computation

[daikitag]

Compute genetic values from effect size dataframe

[codecov]

Codecov Report

Merging #62 (95d7782) into main (d35fc4e) will increase coverage by 1.08%.
The diff coverage is 100.00%.

❗ Current head 95d7782 differs from pull request most recent head fc5e27b. Consider uploading reports for the commit fc5e27b to get more accurate results

@@            Coverage Diff             @@
##             main      #62      +/-   ##
==========================================
+ Coverage   94.10%   95.18%   +1.08%     
==========================================
  Files           6        7       +1     
  Lines         339      395      +56     
  Branches       50       57       +7     
==========================================
+ Hits          319      376      +57     
+ Misses         19       18       -1     
  Partials        1        1              

Files Changed	Coverage Δ
tstrait/provenance.py	100.00% <ø> (+25.00%)	⬆️
tstrait/__init__.py	100.00% <100.00%> (ø)
tstrait/base.py	100.00% <100.00%> (ø)
tstrait/genetic_value.py	100.00% <100.00%> (ø)
tstrait/simulate_effect_size.py	98.57% <100.00%> (-0.03%)	⬇️

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[jeromekelleher]

Really nice! Some great use of numpy functions here 👍

[jeromekelleher]

Just needs a rebase and squash I think, the history is a bit convoluted

[daikitag]

Really nice! Some great use of numpy functions here 👍

Thank you for your feedback Jerome!