Displaying 4 results from an estimated 4 matches for "fgdata".
Did you mean:
fdata
2002 May 31
0
Convergence and singularity in glmmPQL
...0 under linux and the latest MASS and nlme, I am trying to
develop a three-level (two levels of nesting) model with a dichotomous
oucome variable. The unconditional model is thus:
> doubt1.pql<-glmmPQL(fixed = r.info.doubt ~ 1, random = ~1 |
groupid/participantid,
+ family = binomial, data = fgdata.10statements.df)
iteration 1
iteration 2
iteration 3
iteration 4
iteration 5
> summary(doubt1.pql)
Linear mixed-effects model fit by maximum likelihood
Data: fgdata.10statements.df
AIC BIC logLik
35838.51 35864.14 -17915.26
Random effects:
Formula: ~1 | groupid...
2003 May 30
1
Error using glmmPQL
Can anyone shed any light on this?
> doubt.demographic.pql<-glmmPQL(random = ~ 1 | groupid/participantid,
+ fixed = r.info.doubt ~
+ realage + minority + female + education + income + scenario,
+ data = fgdata.df[coded.resource,],
+ na.action=na.omit,
+ niter=50,
+ family=binomial(link=probit))
iteration 1
iteration 2
iteration 3
iteration 4
iteration 5
iteration 6
iteration 7
iteration 8
Error in logLik.reStruct...
2003 Feb 11
4
postgres
Is anyone using R with postgres? I'd like to do so, but cannot seem to
find any reasonable explanation of how to do so.
Joshua Gramlich
Chicago, IL
2002 Jun 21
0
Interpreting output from glmmPQL
...wo specific questions:
1.) This question refers to the following model (I present first
the call, then the output of summary():
morality.restr.1.pql<-glmmPQL(random = ~ 1 | groupid/participantid,
fixed = r.logic.morality ~ 1,
data = fgdata.df[coded.logic,],
na.action=na.omit,
niter=50,
family=binomial)
Linear mixed-effects model fit by maximum likelihood
Data: fgdata.df[coded.logic, ]
AIC BIC logLik
4427.735 4447.531 -2209.8...