similar to: ARM package for R 2.10.1

Hi Everyone, I am using R 2.10.1. lmer function works properly, however pvals.fnc () does not despite the fact that I uploaded: - library(lme4) - library(coda) - library(languageR) This is the error message I get pvals.fnc(lexdec3.lmerE2, nsim=10000)$fixed Error in pvals.fnc(lexdec3.lmerE2, nsim = 10000) : MCMC sampling is not yet implemented in lme4_0.999375 for models with random

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

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

Hello, I am trying to use the lmer function from the lme4 package I have installed today (lme4_0.999375-32.zip; R-2.10.1). According to the information, I should be able to use a generalized linear mixed model. However when I try to fit a model with Gamma distribution of the errors, it gives me the following error model1<-lmer(Cmic~1+(1|FOREST/DEPTH),data=DATOS,family=Gamma) Error en

Hello all, Using Ubuntu 9.04 and R 2.8.1. For a project I need to use the Zelig package, which in turn wants to use the lme4 package. When trying to use Zelig and it tries to its required packages I get the following error message. Error in dyn.load(file, DLLpath = DLLpath, ...) : function 'cholmod_start' not provided by package 'Matrix' Error in loadModelDeps(model) :

Dear List, I am currently running R-2.10.1. I wish to install R-2.13.0 or update my R-2.10.1 to the R-2.13.0. I have downloaded R-2.13.0 but wish to seek your advice before installing that. Please is there a better way of updating to the newer version other than downloading and installing the version? Thanks for your suggestions. Ogbos [[alternative HTML version deleted]]

I have been looking at a draft of Doug Bate's book on mixed effects models (http://lme4.r-forge.r-project.org/book), and in chapter one (section "1.4.2 Matrices and Vectors in the Fitted Model Object", to be exact) he refers to the function env() for checking the environment of a fitted lmer object. This function does not appear under help, and I have not been able to find

Hi, I'm trying to install Chipster (for microarray analysis: http://chipster.csc.fi/), which expressly relies on R 2.6.1 (for now). So I'd like to install automatically (i.e. using a 'install.packages' like function) the last version of a package compatible with the running R version. For example, when I'm running R-2.6.1 and want to install package 'lme4' I get

Dear R and lme4 users- I am trying to fit a mixed-effects model, with the glmer function in lme4, to right-skewed, zero-inflated, non-normal data representing understory grass and forb biomass (continuous) as a function of tree density (indicated by leaf-area). Thus, I have tried to specify a Gamma distribution with a log-link function but consistently receive an error as follows: >

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

Hi everyone, Using R 2.10.1 on Windows Vista. DOWNLOADED PACKAGES DO NOT INSTALL. I expect to see them in C:\Program Files\R\R-2.10.1\library These files download (see below). And they are all in zip format. What am I doing wrong? Please help. All suggestions appreciated. trying URL 'http://cran.cnr.Berkeley.edu/bin/windows/contrib/2.10/RColorBrewer_1.0-2.zip' Content type

I have a question regarding the build of my project papeR (hosted on R-forge http://r-forge.r-project.org/R/?group_id=1574) with respect to lme4. Both, Windows and MacOS are complaining that lme4 doesn't export summary: Error : object 'summary' is not exported by 'namespace:lme4' ERROR: lazy loading failed for package 'papeR' Linux however builds the project

Hi all, I recently (today) updated the Matrix package and installed the latticeExtra package, but then when I tried to load the lme4 package, I got the following error message:- > library(lme4) Loading required package: Matrix Loading required package: latticeExtra Error in importIntoEnv(impenv, impnames, ns, impvars) : object(s) '.__C__lmeRep' are not exported by

Hello there This is the first time I have used r-help message board so I hope I have got the right address. I am trying to check the residuals of a GLMM model(run using the package lme4). I have been able to check the residiuals of REMLs in lme4 using the following: m1<-lmer(vTotal~Week+fCollar+ (1|fCat), collars) res<-resid(m1) plot(res) qqnorm(res) library(MASS) par(mfrow=c(2,3))

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 The lmer() function in the lme4 package has some code of the form mc <- match.call() mc[[1]] <- as.name("lFormula") lmod <- eval(mc, parent.frame(1L)) this is a fairly common idiom in R, found e.g. in lm(), used when one wants to pass all of the arguments of a function to a different function (in the case of lm() it's

R 2.6.0 Windows XP At the risk of raising the ire of the R gods . . . I am looking for a package that will allow me to perform a poisson, quasipoisson, or negative binomial regression with adjustment for repeated measures. I have looked at glm, it does not appear to allow repeated measures. Although I can't get any help for lme or lme4 I remember that those packages perform repeated measures

Hi all I tried to reproduce an example with lme and used the Orthodont dataset. library(nlme) fm2a.1 <- lme(distance ~ age + Sex, data = Orthodont, random = ~ 1 | Subject) anova(fm2a.1) > numDF denDF F-value p-value > (Intercept) 1 80 4123.156 <.0001 > age 1 80 114.838 <.0001 > Sex 1 25 9.292 0.0054 or alternatively

Hi all, I have a problem with package installing in Windows, on my PC machine. The end goal is to be able to use the lme() function. Here's what I did so far: > install.packages("lme4") Warning in install.packages("lme4") : argument 'lib' is missing: using 'C:\Users\Angela\Documents/R/win-library/2.9' --- Please select a CRAN mirror for use in this

I am getting error messages while installing R package lme4. Please advice thanks Pramod trying URL 'http://cran.mtu.edu/src/contrib/lme4_0.999999-0.tar.gz' Content type 'application/x-gzip' length 1074142 bytes (1.0 Mb) opened URL ================================================== downloaded 1.0 Mb * installing *source* package 'lme4' ... ** package

Dear all, For a project I need to calculate the conditional AIC of a mixed effects model. Luckily, I found a reference in the R help forum for a function to be used: CAIC <- function(model) { sigma <- attr(VarCorr(model), 'sc') observed <- attr(model, 'y') predicted <- fitted(model) cond.loglik <- sum(dnorm(observed,