All,
How does one specify a model in lmer such that say the random effect for
the intercept has a different variance per treatment group?
Thus, in the model equation, we'd have say b_ij represent the random
effect
for patient j in treatment group i, with variance depending on i, i.e,
var(b_ij) = tau_i.
Didn't see this in the docs or Pinherio & Bates (section 5.2 is specific
for
modelling within group errors). Sample repeated measures code below is
for
a single random effect variance, where the random effect corresponds to
patient.
cheers,
dave
z <- rnorm(24, mean=0, sd=1)
time <- factor(paste("Time-", rep(1:6, 4), sep=""))
Patient <- rep(1:4, each = 6)
drug <- factor(rep(c("D", "P"), each = 6, times = 2)) ## P = placebo, D
= Drug
dat.new <- data.frame(time, drug, z, Patient)
fm = lmer(z ~ drug + time + (1 | Patient), data = dat.new )
[[alternative HTML version deleted]]
______________________________________________
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
