confidence intervals or SE of gls {nlme} predicted values
-
02-10-2022 - |
Pregunta
I'm running a multivariate gls model:
m <- gls(y ~ x + factor1 + factor2, cor = corPagel(1,phylogeny), weight= ~1/log(n))
I want to plot the results and I could get predicted values like this:
newdata <- data.frame(expand.grid( x = mean(x),
factor1= unique(factor1),
factor2 = unique(factor2)))
predvals <- predict(m,newdata)
Although two of the variables I want to plot are factors, and I want to get confidence intervals or standard errors for these predicted values.
Does anyone know how to do it?
Thanks in advance for your help! Cheers, Jasmine
No hay solución correcta
Licenciado bajo: CC-BY-SA con atribución
No afiliado a StackOverflow