Dear evoldir members,

A new version of QInfoMating (v1.2,
https://doi.org/10.1101/2023.09.06.556585) is available on the website
https://acraaj.webs.uvigo.es/InfoMating/QInfomating.htm. This version
features a user-friendly interface as well as statistics to estimate
patterns of sexual selection and assortative mating from mating frequency
tables, for the discrete case, and pairwise data for the continuous case.
It also estimates the best-fitting model and corresponding parameter
values.

The QInfoMatng software was developed using C+11 and Python3 languages
and is available as a Python interface and as a C++ binary executable
for Windows, macOS and Linux-like platforms.

For questions about this software please contact me at acraaj@uvigo.es

The methods implemented in the program are described in the following
articles:

For continuous data:

Carvajal-Rodr�guez, A. 2024. Unifying quantification methods for sexual
selection and assortative mating using information theory. Theoretical
Population Biology 158: 206-215 .
DOI 10.1016/j.tpb.2024.06.007
.

For discrete data:

Carvajal-Rodr�guez, A. 2020. Multi-model inference of non-random mating
from an information theoretic approach. Theoretical Population Biology 131:
38-53 .
DOI 10.1016/j.tpb.2019.11.002
The preprint has been recommended by
PCI EvolBiol

Carvajal-Rodr�guez, A., 2018. Non-random mating and information theory.
Theoretical Population Biology 120, 103-113.
DOI 10.1016/j.tpb.2018.01.003

Best wishes,

Antonio

Antonio Carvajal Rodr�guez
Catedr�tico de Gen�tica
Universidad de Vigo
email: acraaj@uvigo.es
web: http://webs.uvigo.es/acraaj/

Antonio Carvajal-Rodr�guez <acraaj@uvigo.es>

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