Open davharris opened 10 years ago
I think this is all I need to do:
# Covariance matrix under an OU model base.covar = vcv(rescale(tre2, sigsq = 1, alpha = 0.1, model = "OU")) # Add squared standard error to the diagonal covar = base.covar + SE^2 * diag(length(tre2$tip.label))
I think I can get all of the parameter estimates for the above with
fitContinuous(phy = phylo, dat = latent.trait, model = "OU", SE = NA)
I think this is all I need to do: