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- May 23, 2016.
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- Version 1 (September 8, 2015 - 10:50).
- Version 2 (February 8, 2016 - 10:35).
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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
Author Information
- Pierre de Villemereuil1,5 (bonamy{at}horus.ens.fr),
- Holger Schielzeth2 (holger.schielzeth{at}uni-jena.de),
- Shinichi Nakagawa3 (s.nakagawa{at}unsw.edu.au) and
- Michael Morrissey4 (michael.morrissey{at}st-andrews.ac.uk)
- 1 Laboratoire d'Ecologie Alpine, CNRS UMR 5553 Universite Joseph Fourier , BP53, 38041 Grenoble;
- 2 Department of Evolutionary Biology, Universitat Bielefeld, Bielefeld, Germany;
- 3 Evolution and Ecology Research Centre, University of New South Wales, Sydney, NSW 2052, Australia;
- 4 School of Evolutionary Biology, University of St Andrews, St Andrews, UK, KY16 9TH
- ↵* Corresponding author; email: bonamy{at}horus.ens.fr
Posted May 23, 2016.
General methods for evolutionary quantitative genetic inference from generalised mixed models.
