Validate or normalize hair color proportions so they sum to 1

[borich-hub]

In the lrComparisonApp() UI, the population hair color sliders (propC1–propC5) can sum to values greater or less than 1. Since these represent probabilities, the CPT built by cpt_pop_function() assumes they sum to 1. Otherwise, resulting probabilities become inconsistent. The simple suggested fixes would be to automatically normalize with propC <- propC / sum(propC) before using it or show a validation message in the Shiny UI if the total ≠ 1. This would prevent unintended distortions and improve model accuracy.

[MarsicoFL]

Agreed, lets go for that

[MarsicoFL]

Cool, thanks, look at this about bosnia data, we can discuss then resources from Kosovo and try to add it to the UI: https://leapdna.org/explore/studies/strider-bosnia-and-herzegowina/

[MarsicoFL]

Information for cases from the former Yugoslavia: https://oic.icmp.int/index.php?w=reg_lista_pub_ter_in&x=search&l=en