Hello all, I am currently trying to use MCMCglmm to carry out a phylogenetic logistic regression, with a single binary response and one or more continuous or categorical predictors. However, I am having issues with the phylogenetic component, 'animal', converging. This occurs when I use different datasets, with high, moderate and low phylogenetic signal. I have tried improper (with the expected issues), proper, and alpha-expanded priors but these do not seem to have much effect on the results. I should note that I have no issues with convergence when my response is a continuous variable. Does anybody have a worked example with data and tree that I could use to get started with phylogenetic logistic regression or could somebody point me in the direction of any published work that has used the package for such an analysis successfully? I'll much appreciate any help with this. Thanks again, Joanna Baker University of Hull Cottingham Road Hull East Yorkshire j.l.baker at 2008.hull.ac.uk -------------- next part -------------- ************************************************** To view the terms under which this email is distributed, please go to http://www2.hull.ac.uk/legal/disclaimer.aspx **************************************************
Phylogenetic Logistic Regression + MCMCglmm
1 message · Joanna L Baker