Displaying 1 result from an estimated 1 matches for "fm1logit".
2005 Sep 14
1
Random effect model
...M_ik ~ N(Mew_k,tau_k^2)
E_ik ~ N(0,s_ik^2)
i = number of study
k = number of treatment
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I have practiced using the command from 'Mixed -Effects models in S and
S-plus' as follow
fm1logit.lme <- lme(logitp~1, data=logit, random = ~1|factor(Tr))
It can be written in this model
Y_ik = Mew + B_i + E_ik where M_i ~ N(0,sigma_b^2)
E_ik ~ N(0,sigma^2)
but it is not the same what my model is.
Could somebody please point me in the right direction ?...