Error in .local(object, n, verbose, ...) : Update not yet written
On Wed, Apr 27, 2011 at 8:50 AM, Gregory Gilbert
<g.eastham.gilbert at gmail.com> wrote:
Hello All, I am running the following code under R.2.11.1 on a Dell PowerEdge 2900 III running Windows 2003 Server 64-bit OS (Release 2 build 3790) with 48GB RAM. When I try an get HPD intervals for my model using mcmcsamp() I get the following error: "Error in .local(object, n, verbose, ...) : Update not yet written" I have searched the R-help & R-sig-mixed archives; I have googled the specific error (and found some threads in R-help dating to 2008-2009 suggesting the author of the code put this message in mcmcsamp to remind him to finish coding a particular part of mcmcsamp); I have examined the lme4 documentation (and mcmcsamp); I have read the R FAQ; and I have consulted with my boss PhD biostatistician (he suggested I make a post). As mentioned, I did run across a number of conversations dating to 2008-2009 regarding this error, but did not see a suggestion. I did see something to the effect that it was to remind the programmer he needed to finish some coding. Was the code ever finished/updated? Is the issue still outstanding? I have tried installing lm4a from R-forge and ran into the following error:
You didn't tell us about your model. What is the model? Is it a linear mixed-effects model, a generalized linear mixed-effects model, ...? Does it have only scalar random effects or are there vector-valued random effects?
install.packages("lma4", repos="http://R-Forge.R-project.org")
Warning: unable to access index for repository http://R-Forge.R-project.org/bin/windows64/contrib/2.11 Warning message: In getDependencies(pkgs, dependencies, available, lib) : ?package ?lma4? is not available when I researched this error it was suggested I install "Rccp" from R-forge. I tried this and received the following error:
install.packages("Rcpp", repos="http://R-Forge.R-project.org")
Warning: unable to access index for repository http://R-Forge.R-project.org/bin/windows64/contrib/2.11 Warning message: In getDependencies(pkgs, dependencies, available, lib) : ?package ?Rcpp? is not available
The problem with installing the Rcpp package is that recent versions
depend on an R version >= 2.12.0 and you are running version 2.11.
Similarly for the lme4 (which you misspelled as "lma4", although
perhaps you meant "lme4a").
First I would recommend installing R-2.13.0, the most recent version.
Then try installing lme4 from CRAN. If you want to try lme4a then
install Rcpp, minqa and MatrixModels from CRAN and, finally,
install.packages("lme4a", repos="http://lme4.R-forge.R-project.org/repos")
Where am I going wrong in the process? What have I missed? Is this a problem with my data? I have run a similar regression with continuous A1c data (range: 3 to 18) as the dependent variable and had no problems for all my data (n=700K observations and 5 time points). I also ran the data for 1%, 5%, 10%, and 25% random samples or the data, with a continuous dependent variable) and had no problems generating CIs. I am not wedded to mcmcsamp() & HPDinterval(), but I understand it is one of the more robust methods of generating CIs about beta for mixed effects models. I am happy to use any approach as long as statistically valid. Any status or updates would be greatly appreciated. Thanks in advance. Greg Gilbert
options(repos="http://lib.stat.cmu.edu/R/CRAN/") myPackages <- c("lme4", "foreign", "Hmisc") install.packages(myPackages, dependencies=TRUE) update.packages(checkBuilt=TRUE, ask=FALSE) library(foreign) library(Hmisc) library(lme4) cohort <- sasxport.get("//v07.med.va.gov/cha/TREP/___neworganization/workgroups/wg10_06_sampling_gebregziabher/data/PCT01SRS.xpt")
Processing SAS dataset PCT01SRS ? ? ? ? ?..
## time is 1 to 5 cohort$time.ctr.sq <-(cohort$time-3)*(cohort$time-3) attach(cohort) ## a1cge8 is 0, 1 ## id is 4-7 digit number ## age is continuous 18-103 ## svcpct is continuous 0 to 100 ## all other variables are binary 0, 1 f ?<- a1cge8 ~ ?(1|id) ? + time ? ? ? + time.ctr.sq ? ? +
+ ? ? ? ? ? ? ? ? nhb ? ? ?+ hispanic ? + other ? ? ? ? ? + + ? ? ? ? ? ? ? ? male ? ? + age ? ? ? ?+ mstat ? ? ? ? ? + + ? ? ? ? ? ? ? ? svcpct ? + urban ? ? ?+ + ? ? ? ? ? ? ? ? abuse ? ?+ anemia ? ? + cancer ? ? ? ? ?+ + ? ? ? ? ? ? ? ? cbd ? ? ?+ chf ? ? ? ?+ cvd ? ? ? ? ? ? + + ? ? ? ? ? ? ? ? depress ?+ htn ? ? ? ?+ hypothy ? ? ? ? + + ? ? ? ? ? ? ? ? liver ? ?+ lung ? ? ? + lytes ? ? ? ? ? + + ? ? ? ? ? ? ? ? obese ? ?+ other.dz ? + psych ? ? ? ? ? + + ? ? ? ? ? ? ? ? pvd
## finite population correction population <- 890394 sample ? ? <- ? 9000 fpp ? ? ? ?<- sqrt((population-sample)/(population-1)) fit ? ? ? ?<- lmer(f, family=binomial(link="logit"), data=cohort) ? ?mcmc.ci <- mcmcsamp(fit, 1000)
Error in .local(object, n, verbose, ...) : Update not yet written
ci ? ? ? ? <- HPDinterval(mcmc.ci)
Error: object 'mcmc.ci' not found Error in HPDinterval(mcmc.ci) : ?error in evaluating the argument 'object' in selecting a method for function 'HPDinterval'
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