Hi Judit,
Negative predictions are surprising indeed if your observed data are all
positive values, and if you have a single trait. Do you have multiple traits?
If they are correlated, information on one trait can push imputation of another
in the negative range.
In any case, one option would
Dear R-sig-phlyo members,
I am using phylopars() in Rphylopars package in R to generate the missing
values in a large dataset about animal body traits (eg body size). (
https://www.rdocumentation.org/packages/Rphylopars/versions/0.2.9/topics/phylopars)
This method is called imputation and what it