Correlated evolution of categorical characters under a simple model

I describe a simple model for quantifying the strength of association between two categorical characters evolving on a phylogenetic tree. The model can be used to estimate a correlation statistic that asks whether or not the two characters tend to change at the same time (positive correlation) or at different times (no correlation). This is different than asking if changes in one character are associated with a particular state in another character, which has been the focus of most prior tests for phylogenetic correlation in categorical characters. Analyses of simulated data indicate that positive correlations can be accurately estimated over a range of different tree sizes and phylogenetic signals.

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Publication Details

Journal
Evolution
Published
2024-11-22
DOI
https://doi.org/10.1093/evolut/qpae166
Citations
2
Primary Topic
Evolution and Paleontology Studies
Type
article
Field-Weighted Citation Impact
3.18
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article

Correlated evolution of categorical characters under a simple model

Michael C. Gründler
2 citations
Evolution
Evolution and Paleontology Studies
3.18
article

Correlated evolution of categorical characters under a simple model

Michael C. Gründler
article en
2 citations

Abstract

I describe a simple model for quantifying the strength of association between two categorical characters evolving on a phylogenetic tree. The model can be used to estimate a correlation statistic that asks whether or not the two characters tend to change at the same time (positive correlation) or at different times (no correlation). This is different than asking if changes in one character are associated with a particular state in another character, which has been the focus of most prior tests for phylogenetic correlation in categorical characters. Analyses of simulated data indicate that positive correlations can be accurately estimated over a range of different tree sizes and phylogenetic signals.

EvolutionVol. 79(2)
University of Michigan (US)
Openalex Percentile: Top 8%
Evolution and Paleontology Studies
3.18
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