Hi R people!
I have a doubt in lme(). I use this model:
m2.lme<-lme(log(cmort)~idade+ano,random=~idade|ano,data=dados)
If i use summary I recive this output:
> summary(m2.lme)
Linear mixed-effects model fit by REML
Data: dados
AIC BIC logLik
1139.313 1170.554 -562.6563Random effects:
Formula: ~idade | ano
Structure: General positive-definite, Log-Cholesky parametrization
StdDev Corr
(Intercept) 3.131076e-03 (Intr)
idade 3.515018e-05 -0.042
Residual 5.687940e-01...etc...
I know the value of Residula random effects is m2.lme$sigma but how do I find the value of idade or intercept random effects
Thanks in advance
Bernardo Rangel Tura, MD, MSc
National Institute of Cardiology Laranjeiras
Rio de Janeiro Brazil
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