similar to: Latest revision of lme4 requires 'Matrix' >= 0.995.2 but that version is not available on CRAN

I suspect the weights argument is not having any effect. Package: Matrix Version: 0.995-2 Date: 2006-01-19 Beginning with this: Browse[1]> resp.lmer <- lmer(SensSSC ~ Block + Season + (1 | Plot) + (1 | Ma) + (1 | Pa) + + (1 | MaPa), weights = SensSSC.N, data = xx) I group the output into a table with my ran.eff function and get this:

Hi, Can anyone tell me why I am not getting the correct intervals for fixed effect terms for the following generalized linear mixed model from HPDinterval: > sessionInfo() R version 2.4.1 (2006-12-18) i386-pc-mingw32 locale: LC_COLLATE=English_United States.1252;LC_CTYPE=English_United States.1252;LC_MONETARY=English_United States.1252;LC_NUMERIC=C;LC_TIME=English_United States.1252

I'll address two issues. The first is today's error message and the other is change management for contributed packages on CRAN. TODAY'S ERROR MESSAGE I switched from the 0.995-1 versions of lme4 and Matrix to those referenced in the subject line this afternoon. Prior to using these packages on anything else, I applied them to code that 'worked' (provided numerical results

Dear all I want to compute Monte Carlo p-values in lmer-models based on sampled data sets. To speed up calculations, I've tried to use internal functions from the Matrix package (as suggested ealier on the list by Doug Bates). So I did: fm2 <- lmer(resistance ~ ET + position + (1|Grp), Semiconductor,method='ML') simdata<-simulate(fm2,nsim=1) ynew <- simdata[,1] mer

Dear list, I am needing to extract the estimate of overdispersion (deviance / residual degrees of freedom or c-hat) from multiple model objects - so they can then be used to compare the extent of overdispersion among alternative models as well as calculate qausi-AIC values. I have been unable to do this, despite consulting a number of manuals and searching the R-help. I am imaging that in

Dear R users, I am estimating Poisson mixed models using glmmPQL (MASS) and lmer (lme4). We know that glmmPQL do not provide the correct loglikelihood for such models (it gives the loglike of a 'pseudo' or working linear mixed model). I would like to know how the loglike is calculated by lmer. A minor question is: why do glmmPQL and lmer give different degrees-of-freedom for the same

Hello, I’m trying to fit the following model: Dependent variable: MAXDEPTH (the maximum depth reached by a penguin during a given dive) Fixed effects: SUCCESSMN (an index of the “individual quality” of a bird), STUDYDAY (the day of the study, from -5 to 20, with 0=Dec 20), and the interaction SUCCESSMN*STUDYDAY Random effect: BIRD (the bird id, as each bird is performing several dives)

I am currently using R 2.1.1 under Windows and I do not seem to be able to load the current versions of lme4/Matrix. I have run 'update.packages.' I understand this is still experimental software but I would like access to a working version. Thanks. Chuck R Output: > library(lme4) Loading required package: Matrix Error in lazyLoadDBfetch(key, datafile, compressed, envhook) :

Hi, I just installed version 2.11.1 on my Mac OS X 10.5.2. When I try running R from my xterm, I get the following error: Error in loadNamespace(name) : there is no package called 'lme4' Fatal error: unable to restore saved data in .RData I am returned to the terminal prompt and can not run R. I can open this version of R from the R console and tried installing the lme4 source

I have R version 2.10.1 (2009-12-14) installed on Ubuntu HH (version 8.04) I installed lme4 from the Ubuntu respository. When I executed the library(lme4) command, R responds that lme4.so was not found. I then uninstalled lme4 and tried again from cran. When the program tried to compile, there was a message that -llapack could not be found, so the package failed to install. If I execute the

help.search("groupedData") says that it's part of the lme4 package, but it appears not to be there (details below). Is this because lme4 is new and (perhaps) still under development? > update.packages() trying URL `http://cran.r-project.org/bin/windows/contrib/1.9/PACKAGES' Content type `text/plain; charset=iso-8859-1' length 19113 bytes opened URL downloaded 18Kb >

My question relates to problems that I'm having matching lme and lmer examples in P&B. using Matix 0.995 In the Oxide example in p167-170 I can't get the level 2 coefficient estimates to match the fm1Oxide model in lme is data(Oxide,package="nlme") lme(Thickness~1,Oxide) which I translate in Lmer syntax to fm3Oxide<-lmer(Thickness~

it takes a long time to load the lme4 package.anyone else encounter this problem? > system.time(library(lme4)) 佋佖伻侂佇佽佉仾伒伳伋佁伡伃伆侟仯伜Matrix 佋佖伻侂佇佽佉仾伒伳伋佁伡伃伆侟仯伜lattice [1] 19.90 0.30 25.56 NA NA > version _ platform i386-pc-mingw32 arch i386 os mingw32 system i386, mingw32 status Patched major 2 minor

The impression I get from the list and the references I've perused is that nlme is being phased out in favor of lme4, but lme4 still doesn't have a complete feature set yet. What I'm still fuzzy on, being a relative R newbie, is: (a) what features in nlme are currently missing in lme4 (b) what's the projected time frame on getting them implemented. If anyone can answer my naive

I am unable to install package lme4, after several attempts to do so using various repository URLs. Just to make sure everything works fine with proxy, connection, etc, I installed ggplot2 and it worked fine. I am using command install.packages("lme4", lib="/myRlibs"), optionally using contrib argument with different URLs. Error message the I get is Warning message; In

Hola, Tenía una versión anterior de R, la 2.10.1 en la cual podía cargar perfectamente el paquete "lme4". Actualicé la versión del R a 2.14.0 y aún volviendo a descargar la nueva versión del paquete mencionado cuando intento cargarlo me da el siguiente error : > library(lme4) Error: package ‘lme4’ is not installed for ''arch=i386'' Hay alguna solución para esto o

Hi folks, When I try to load package 'lme4' on my Linux box (64-bit Ubuntu 9.04), I get the following error: ------------------------------------- > library(lme4) Error in dyn.load(file, DLLpath = DLLpath, ...) : function 'cholmod_start' not provided by package 'Matrix' Error: package/namespace load failed for 'lme4' ------------------------------------ I

Being rather inept at all things Linux, I paid a consultant to fix some things on my computer,? Unforntately, good help is hard to find.? Here's where I am: ? ... Loading required package: Matrix Loading required package: lattice Error in dyn.load(file, DLLpath = DLLpath, ...) : ? function 'cholmod_l_start' not provided by package 'Matrix' Error: package/namespace load failed

Hi, I'm having some problems regarding the packages lme4 and nlme, more specifically in the denominator degrees of freedom. I used data Orthodont for the two packages. The commands used are below. require(nlme) data(Orthodont) fm1<-lme(distance~age+ Sex, data=Orthodont,random=~1|Subject, method="REML") anova(fm1) numDF DenDF F-value p-value (Intercept) 1

Hi, I cannot seem to get lme4 to work. I have installed the lme4 and Matrix package with apt-get. and both can be found in /usr/lib/R/site-library. When I tried an example for lmer, R could not find the function lmer(), > library(lme4) Attaching package: 'lme4' The following object(s) are masked from package:nlme : getCovariateFormula getResponseFormula