similar to: help with lmer,

Hi R-Users, I have 3 replicates ('Replicate) of counts of parasites ('nor.tot.lep') before and after an experiment ('In.Out'). I am trying to treat the three replicates as a random effect in order to determine if the main effect (In.Out) significantly influences my dependent variable (nor.tot.lep) after the variance explained by the replicates is accounted for. I have

Dear r-devel, Among the R functions I have written and later shared with colleagues, there are five that I hope will become a part of the R base package. The tasks are neither specific nor marginal, so rather than creating one more 'misc' package, I would be happy if the R Development Core Team would adopt these functions and hammer them into shape. The functions are available from

I use lmer to fit a mixed effect model.It give some warnings.what does this warnings mean? and what should I do? > (fm2.mlm <- lmer(qd ~ edu + jiankang + peixun +hunyin + cadcj + age + age2 + sex + dangyuan + Comp.1 + Comp.2+trust.cz1 +(trust.cz1|commid), data = individual,na.action = "na.exclude",family="quasibinomial")) Generalized linear mixed model fit using PQL

Dear R users, I am trying to fit a GLMM to the following dataset; tab a b c 1 1 0.6 199320100313 2 1 0.8 199427100412 3 1 0.8 199427202112 4 1 0.2 199428100611 5 1 1.0 199428101011 6 1 0.8 199428101111 7 0 0.8 199527103011 8 1 0.6 199527200711 9 0 0.8 199527202411 10 0 0.6 199529100412 11 1 0.2 199626201111 12 2 0.8 199627200612 13 1 0.4 199628100111 14 1 0.8

Dear all, I get an error message when I run my model and I am not sure what to do about it. I try to determine what factors influence the survival of voles. I use a mixed-model because I have several voles per site (varying from 2 to 19 voles). Here is the model: ### fm5 <-lmer(data=cdrgsaou2, alive~factor(pacut)+factor(agecamp)+factor(sex)+ResCondCorp+(1|factor(cdrgsa ou2$ids)),

Hi all! My question is why, and what I can do about that I sometimes, but not always, get warning-messages like nlminb returned message singular convergence (7) in: LMEopt(x = mer, value = cv) or IRLS iterations for PQL did not converge when trying to fit a model looking like this: lmer<-(cbind(Diseased,Healthy)~Fungus+(1|Family)+(1|Fungus:Family), family="binomial") to four

I am getting the following error message using the lmer function for mixed models with method="Laplace": "nlminb returned message false convergence (8) in: LMEopt(x=mer,value=cv)" Could anyone explain what this means, and how I might overcome (or track down) the problem? Bill Shipley [[alternative HTML version deleted]]

Dear All, After playing with lmer for couple of days, I have to say that I am amazed! I've been using quite some multilevel/mixed modeling packages, lme4 is a strong candidate for the overall winner, especially for multilevel generzlized linear models. Now go back to my two-level poisson model with cross-classified model. I've been testing various different model specificatios for the

Using the animation package, I am trying to show fish movement over a jpeg of our study area. I want to show fish detection at each of 5 sites on each day they are detected. Each of the five fish species will have their own color (not coded yet). I am able to create the animation, though the data is not plotting correctly, and I feel that the problem lies with a loop that I can't seem to

Dear all, I use lmer to fit a mixed effect model.It give some warnings. What can I do about this? Here is the function and the warning message: > model.growth.mcas5 <- lmer(response ~ monthElapsed + (monthElapsed|studentID), + data= mcas5, family=binomial(link="logit"), method='ML') Warning messages: 1: nlminb returned message false convergence (8) in:

> > If one compares the random effect estimates, in fact, one sees that > > they are in the correct proportion, with the expected signs. They are > > just approximately eight orders of magnitude too small. Is this a bug? > > BLUPs are essentially shrinkage estimates, where shrinkage is > determined with magnitude of variance. Lower variance more > shrinkage towards

Hi all, I've now got a problem with some modified lmer code (function lmer1 pasted at end) - I've made only three changes to the lmer code (marked), and I'm not really looking for comments on this function, but would like to know why execution of the following commands that use it almost invariably (but not quite predictably) leads to the R session terminating. Here's the command

I am fitting models to the responses to a questionnaire that has seven yes/no questions (Item). For each combination of Subject and Item, the variable Response is coded as 0 or 1. I want to include random effects for both Subject and Item. While I understand that the datasets are fairly small, and there are a lot of invariant subjects, I do not understand something that is happening

Dear R-users, Half a year ago we put out the R package "glmmADMB" for fitting overdispersed count data. http://otter-rsch.com/admbre/examples/glmmadmb/glmmADMB.html Several people who used this package have requested additional features. We now have a new version ready. The major new feature is that glmmADMB allows Bernoulli responses with logistic and probit links. In addition there

We want to use Nagios to monitor out puppet server so we can be notified if it goes down. We are using Fusion Passenger and Apache on Red Hat. Any suggestion for what and how to monitor? -- Thanks, Allan Marcus 505-667-5666 Allan@lanl.gov -- You received this message because you are subscribed to the Google Groups "Puppet Users" group. To post to this group, send email to

Do Users of Nonlinear Mixed Effects Models Know Whether Their Software Really Works? Lesaffre et. al. (Appl. Statist. (2001) 50, Part3, pp 325-335) analyzed some simple clinical trials data using a logistic random effects model. Several packages and methods MIXOR, SAS NLMIXED were employed. They reported obtaining very different parameter estimates and P

Working to get ZFS to run on a minimal Solaris 10 U2 configuration. In this scenario, ZFS is included the miniroot which is booted into RAM. When trying to share one of the filesystems, an assertion is raised - see below. If the version of source on OpenSolaris.org matches Solaris 10 U2, then it looks like it''s associated with a popen of /usr/sbin/share. Can anyone shed any

Hi,I am new to Asterisk, I installed it add got it working for incoming calls using a sip provider. I can for example run the following successfully: exten => 124,1,Wait(1) exten => 124,2,Playback(demo-thanks) exten => 124,3,Hangup My problem is that I can not run AGI scripts, I tried the default test-agi.agi and a more simple python based one. I am using the following to use AGI.

https://bugzilla.mindrot.org/show_bug.cgi?id=2876 Bug ID: 2876 Summary: PAM_TEXT_INFO and PAM_ERROR_MSG conversation not honoured during PAM authentication Product: Portable OpenSSH Version: 7.7p1 Hardware: Other OS: Linux Status: NEW Severity: enhancement Priority: P5

Pass PYTHON=$(PYTHON) to gmake when building seabios. This fixes seabios build error ''python not found'' along with the patches from Kevin O''Connor. Signed-off-by: Christoph Egger <Christoph.Egger@amd.com> -- ---to satisfy European Law for business letters: Advanced Micro Devices GmbH Einsteinring 24, 85689 Dornach b. Muenchen Geschaeftsfuehrer: Alberto Bozzo,