The logistic regression in Ives & Garland is implemented in the phyloglm 
function, from the R package “phylolm".  
Cécile

> On Jan 26, 2016, at 10:43 AM, Theodore Garland Jr <theodore.garl...@ucr.edu> 
> wrote:
> 
> You might also want to read about the background, starting with these two 
> papers, both available at my website:
> 
> Ives, A. R., and T. Garland, Jr.  2010.  Phylogenetic logistic regression for 
> binary dependent variables.  Systematic Biology  59:9-26.  
> 
> Ives, A. R., and T. Garland, Jr.  2014.  Phylogenetic regression for binary 
> dependent variables.  Pages 231-261 in Modern Phylogenetic Comparative 
> Methods and Their Application in Evolutionary Biology: Concepts and Practice, 
> L. Z. Garamszegi, ed.  Springer: Heidelberg.
> 
> Cheers,
> Ted
> 
> Theodore Garland, Jr., Professor
> Department of Biology
> University of California, Riverside
> Riverside, CA 92521
> Office Phone:  (951) 827-3524
> Facsimile:  (951) 827-4286 (not confidential)
> Email:  tgarl...@ucr.edu
> http://www.biology.ucr.edu/people/faculty/Garland.html
> http://scholar.google.com/citations?hl=en&user=iSSbrhwAAAAJ
> 
> Director, UCR Institute for the Development of Educational Applications
> 
> Editor in Chief, Physiological and Biochemical Zoology
> 
> Fail Lab: Episode One
> http://testtube.com/faillab/zoochosis-episode-one-evolution
> http://www.youtube.com/watch?v=c0msBWyTzU0
> 
> ________________________________________
> From: R-sig-phylo [r-sig-phylo-boun...@r-project.org] on behalf of Florian 
> Boucher [floflobouc...@gmail.com]
> Sent: Tuesday, January 26, 2016 8:34 AM
> To: Knappová Jana
> Cc: r-sig-phylo@r-project.org
> Subject: Re: [R-sig-phylo] multiple regression with binomial distribution
> 
> Hi Jana,
> 
> If your data are proportions, you might want to model their logit, ie
> log(X/(1-X)), rather than their raw value. You can then use PGLS in the
> same manner as you did. An ML value of 0 for lambda indicates that you are
> actually fitting a non-phylogenetic model, but it is safer to allow for
> lambda to vary in case there would be signal in the residuals of the
> regression.
> If your data are 0/1, then you should rather use phylogenetic logistic
> regression.  This is implemented for example in the 'phyloglm' function in
> the R package 'phylolm'.
> 
> Cheers,
> Florian
> 
> 2016-01-26 16:16 GMT+01:00 Knappová Jana <jana.knapp...@ibot.cas.cz>:
> 
>> Hi everyone,
>> 
>> I am not very familiar with phylogenetics, but i would like to incorporate
>> it somehow into my work and i appreciate any suggestions.
>> 
>> Is it possible to use any kind of phylogenetically informed analysis in
>> case of multiple regression (one response ~ multiple predictors) in case I
>> assume binomial distribution of response variable? I try to explain species
>> occurrence (proportional data) by a couple of species traits.
>> 
>> I tried pgls function from "caper" R package, but I am not sure about it.
>> Generally, it seems that there is not strong signal in my data, when I used
>> lambda="ML" than lambda was set to zero.
>> 
>> Thanks
>> 
>> Jana Knappová
>> Botanický ústav AV ČR, v. v. i. | Institute of Botany of the CAS
>> Zámek 1, 252 43 Průhonice | Zamek 1, CZ-25243 Pruhonice
>> Česká republika | Czech Republic
>> jana.knapp...@ibot.cas.cz
>> www.ibot.cas.cz
>> www.pruhonickypark.cz
>> Telefon: 271015401, 737375227 | Phone: +420-271015401, 737375227
>> Fax: 271015105 | Fax: +420-271015105
>> _______________________________________________
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> 
> 
> 
> 
> --
> Florian Boucher
> Postdoctoral researcher, Institute of Systematic Botany, Zürich
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