Dear Karla,
There are several options for classical phylogenetic regressions. For instance,
the �gls� function from nlme package with the �corStruct� objects from ape, the
function �phylolm� from the package of the same name or �pgls� in caper to name
a few. For multivariate data you can use �mvgls� in mvMORPH.
Note however that the goal of these comparative approaches is to provide valid
confidence interval or p-values associated to parameter estimates rather than
�phylogenetically corrected� slopes or intercepts. Both ordinary least squares
coefficients (conventional non-phylogenetic regressions or OLS) and generalized
least squares (GLS � phylogenetic regressions) might slightly differ but are as
good as any (they�re unbiased - at least assuming that both errors and
predictors are independent and known without errors). However, their variance
may differ substantially and impact the statistical performances of the
regressions.
Best wishes,
Julien
De : R-sig-phylo de la part de Karla Shikev
Envoy� : dimanche 28 juin 2020 15:35
� : R Sig Phylo Listserv
Objet : [R-sig-phylo] regression slopes
Dear friends,
What would be your suggestion for the best PCM to obtain
"phylogenetically-corrected" slopes and intercepts of a relationship
between two continuous variables?
Karla
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