Displaying 3 results from an estimated 3 matches for "reglme".
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regime
2006 Jun 28
1
lme - Random Effects Struture
...is my SAS code
proc mixed data=Reg;
class ID;
model y=Time Time*x1 Time*x2 Time*x3 /S;
random intercept Time /S type=UN subject=ID G GCORR V;
repeated /subject = ID R RCORR;
run; **
(Type =UN for random effects)
The eqivalent lme statement I am using is :
reglme <- lme(y ~ Time+Time*x1+Time*x2+Time*x3, data=Reg, random = ~ Time |
ID)
When I compare the results, the values differ by considerable margin; I
suppose this is due to the Random effects covariance structure. R output
tells me that the structure is
"Structure: General positive-defini...
2002 Apr 01
2
writing a package for generalized linear mixed modesl
Happy new month, everyone!
I am planning to write a NIH grant proposal to study ways to speed
Monte Carlo based maximum likelihood algorithm for hierarchical models
with a focus on generalized linear mixed models (GLM with random
effects). I thought it would be nice and also increase the chance of
funding if I could produce an R package in the process. I understand
that Prof. Pinheiro ang Bates
2002 Apr 12
1
summary: Generalized linear mixed model software
Thanks to those who responded to my inquiry about generalized linear
mixed models on R and S-plus. Before I summarize the software, I note
that there are several ways of doing statistical inference for
generalized linear mixed models:
(1)Standard maximum likelihood estimation, computationally intensive
due to intractable likelihood function
(2) Penalized quasi likelihood or similar