[R-sig-ME] fitting mixed effects logistic regression with weights
Gebregziabher, Mulugeta
gebregz at musc.edu
Fri Jun 10 22:24:41 CEST 2011
Dear all,
I have been trying to fit a logistic regression model with random intercept for survey sampled data using the lmer in the lme4 package. I also want to get HPD intervals. I tried family=binomial as well as family=quasibinomial. I am encountering the following errors. "Eror in .local(object, n, verbose, ...) : Update not yet written" and "Error in HPD interval(mcmcsamp(fit, 1000)) : error in evaluating the argument 'object' in selecting a method for function 'HPDinterval'. See more below:
Does anyone know how to go around this problem?
Thanks.
> library(lme4)
Loading required package: Matrix
Loading required package: lattice
Attaching package: 'Matrix'
The following object(s) are masked from 'package:base':
det
Attaching package: 'lme4'
The following object(s) are masked from 'package:stats':
AIC
> attach(cohort)
>
> f <- a1cge8 ~ (1|id) + time + nhb + hispanic + other + male + mstat +svcpct +urban + comor1 +comor2 + comor3
>
> est <- round(slot(summary(fit), "coefs")[,1], digits=2)
> t <- slot(summary(fit), "coefs")[,3]
> df <- c(1, 1, 3, 3, 3, 1, 1, 1, 1, 3, 3, 3)
> p.value <- ifelse(t<0, round(pt(t, df=df), digits=3), round(1-pt(t, df), digits=3) )
> se <- round(slot(summary(fit), "coefs")[,2], digits=4)
> ci <- HPDinterval(mcmcsamp(fit, 1000))
Error in .local(object, n, verbose, ...) : Update not yet written
Error in HPDinterval(mcmcsamp(fit, 1000)) :
error in evaluating the argument 'object' in selecting a method for function 'HPDinterval'
> lower <- round(ci$fixef[,1], digits=2)
Error: object 'ci' not found
> upper <- round(ci$fixef[,2], digits=2)
Error: object 'ci' not found
__________________________________________
Mulugeta Gebregziabher, PhD
Assistant Professor
Division of Biostatistics and Epidemiology
135 cannon St. Suite 303
Charleston, SC 29425
Tel: 843-876-1112; Fax: 843-876-1126
E-mail: gebregz at musc.edu
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