Displaying 1 result from an estimated 1 matches for "scheilzeth".
2011 Jun 08
1
using stimulate(model) for parametric bootstrapping in lmer repeatabilities
...model and
trying to use parametric bootstrapping for the confidence intervals.
My model is like this:
model<-lmer(y~A+B+(1|C/D)+(1|E),binomial)
where E is the individual level for consistency analysis, A-D are
other fixed and random effects that I have to control for.
Following Nakagawa and Scheilzeth I can work out the repeatability
estimate using the following (as it is a binomial and the residual
variance is fixed at 1).
attr(lme4::VarCorr(model)$E, "stddev")^2 /
(1*(pi^2)/3 + attr(lme4::VarCorr(model)$E, "stddev")^2 +
attr(lme4::VarCorr(model)$C, "stddev")^2...