Hi all,
I'm writing to seek out some advice regarding running PGLS for a relatively
small dataset (10 species), but with random sampling of intraspecific
variation (N ~ 40-45).
(1) I'd like to examine the links between group size (cont. outcome) and
various social network measures (cont. predictors) across 10 species of
nonhuman primates. I first tried implementing the PGLS code in Caper
package that incorporates random-sampling of intraspecific variation.
Although I am getting a seemingly meaningful output, I'm also getting the
error:
Error in pgls(mod ~ groupsize, data = primate, lambda = "ML") :
Problem with optim:52ERROR: ABNORMAL_TERMINATION_IN_LNSRCH
Is there some way around this?
(2) Is there an algorithm for running a logistic PGLS that allows for
random sampling of intraspecific variation? Does adding a link function to
the regular Caper package code do the trick?
Thank you very much... looking forward to some feedback!
Best regards,
Krishna
--
Krishna N. Balasubramaniam, Ph.D.
Postdoctoral Researcher, School of Veterinary Medicine
Department of Population Health and Reproduction
University of California-Davis
One Shields Avenue
Davis, CA 95616
Email: krishnanatara...@ucdavis.edu
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