Displaying 2 results from an estimated 2 matches for "neam".
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2004 Aug 04
1
cross random effects
...ata using PQL. This data contain cross-random effects
for (male) and for (female). By opining MASS and lme
library. I wrote this code
sala.glmm <- glmmPQL(fixed=y~WSf*WSM,
random=list(experiment=pdBlocked(list(pdIdent(~randf-1),pdIdent(~randm-1)))),
family=binomial, data=sala.data).
Where
data neame=sala.glmm which contain
y is response
wsf is fixed effect
wsm is fixed effects
randf is random effect
random is random effect
The data contain three experiments at the same time.
The previous cod is work but it does not give me
accurate result especially for the random effects.
For experim...
2004 Aug 05
1
cross random effects (more information abuot the data)
...ata using PQL. This data contain cross-random effects
for (male) and for (female). By opining MASS and lme
library. I wrote this code
sala.glmm <- glmmPQL(fixed=y~WSf*WSM,
random=list(experiment=pdBlocked(list(pdIdent(~randf-1),pdIdent(~randm-1)))),
family=binomial, data=sala.data).
Where
data neame=sala.glmm which contain
y is response
wsf is fixed effect
wsm is fixed effects
randf is random effect
random is random effect
The data contain three experiments at the same time.
The previous cod is work but it does not give me
accurate result especially for the random effects.
For experim...