similar to: installing package lme4

?install.packages On 8/18/17, 7:39 AM, "Lucy McMahon" <lucymcmahon004 at hotmail.co.uk> wrote: >I am hoping to run a generalised linear mixed effect model but I don't >seem to have access to package lme4. > > >library (lme4) >Error in library(lme4) : there is no package called ?lme4? > > >I'm unsure of how to go about installing this package and

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) :

This may sound like an April Fool's joke but it isn't really. I just uploaded version 0.95-1 of the lme4 package for R. This is the package with the new versions of the lme (linear mixed-effects) function for R and the GLMM (generalized linear mixed models) function. One distinguishing feature of the 0.95 series of releases of this package is the absence of the lme and GLMM

This may sound like an April Fool's joke but it isn't really. I just uploaded version 0.95-1 of the lme4 package for R. This is the package with the new versions of the lme (linear mixed-effects) function for R and the GLMM (generalized linear mixed models) function. One distinguishing feature of the 0.95 series of releases of this package is the absence of the lme and GLMM

Hi all, I am trying to run an lme4 model (logistic regression with mixed effects) in MCMCglmm but am unsure how to implement it properly. Currently, my lme4 model formula looks as follows: "outcome ~ (1 + var1 + var2 | study) + var1 + var2" In English, this means that I am fitting a random effects model, where the intercept, var1 and var2 are jointly distributed according to study.

Dear R users I encounter a problem when i perform a generalized linear mixed model (binary data) with the lmer function (package lme4) with R 2.1.0 on windows XP and the latest version of package "lme4" (0.96-1) and "matrix" (0.96-2) both options "PQL" and "Laplace" for the method argument in lmer function gave me the same results (random and fixed effects

I am modeling the effects of an environmental variable (X) on fish recruitment (Y) for several, ecologically related species (i) using a mixed-effects model. The linear relationship between X and Y includes a fixed effect that is common across all species and random effects that vary by species. In the lmer() notation from the package lme4: Model<- lmer(Y ~ X +(X|i)) Because the residuals of

Versions 0.9975-1 of the Matrix and lme4 packages will soon be available on CRAN for use with R version 2.4.0 or later. Purpose of the packages: The Matrix package provides S4 classes and methods for sparse and dense matrices. The lme4 package provides functions for fitting and assessing linear or generalized linear mixed effects models (also called multilevel models). Like the Matrix package,

Versions 0.9975-1 of the Matrix and lme4 packages will soon be available on CRAN for use with R version 2.4.0 or later. Purpose of the packages: The Matrix package provides S4 classes and methods for sparse and dense matrices. The lme4 package provides functions for fitting and assessing linear or generalized linear mixed effects models (also called multilevel models). Like the Matrix package,

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

Thanks, Douglas. It works. Only one gripe. Every time I want to try a new version of your software, I have to get, compile, patch the latest bleeding edge version of R as well: ERROR: This R is version 2.3.1 package 'Matrix' needs R >= 2.4.0 Douglas Bates wrote: > Versions 0.9975-1 of the Matrix and lme4 packages will soon be available on > CRAN for use with R

Hi, I'm new to R and GLMMs, and I've been unable to find the answers to my questions by trawling through the R help archives. I'm hoping someone here can help me. I'm running an analysis on Seedling survival (count data=Poisson distribution) on restoration sites, and my main interest is in determining whether the Nutrients (N) and water absorbing polymer Gel (G) additions to the

I'm resending this message because I did not include a subject line in my first posting. Apologies for the inconvenience! Tanja > Hello, > > I'm trying to fit a generalized linear mixed model to estimate diabetes prevalence at US county level. To do this I'm using the glmer() function in package lme4. I can fit relatively simple models (i.e. few covariates) but when

Version 0.98-1 of the lme4 package and of the Matrix package are now on CRAN. This version provides the adaptive Gauss-Hermite quadrature (AGQ) method for fitting generalized linear mixed models. A new generic function mcmcsamp has been added with a method for objects in the "lmer" (linear mixed model fit or generalized linear mixed-effects model fit) class. This function provides a

Version 0.98-1 of the lme4 package and of the Matrix package are now on CRAN. This version provides the adaptive Gauss-Hermite quadrature (AGQ) method for fitting generalized linear mixed models. A new generic function mcmcsamp has been added with a method for objects in the "lmer" (linear mixed model fit or generalized linear mixed-effects model fit) class. This function provides a

Hi, I'm new to R and GLMMs, and I've been unable to find the answers to my questions by trawling through the R help archives. I'm hoping someone here can help me. I'm running an analysis on Seedling survival (count data=Poisson distribution) on restoration sites, and my main interest is in determining whether the Nutrients (N) and water absorbing polymer Gel (G) additions to the

I have uploaded version 0.96-1 of both Matrix and lme4 to CRAN. The source package should migrate to CRAN over the weekend and binary packages should be available some time next week. As for previous releases, the versions of these two packages are interdependent. The lme4 package requires Matrix_0.96-1 or later but we cannot enforce the other dependency. Please remember that if you upgrade

I have uploaded version 0.96-1 of both Matrix and lme4 to CRAN. The source package should migrate to CRAN over the weekend and binary packages should be available some time next week. As for previous releases, the versions of these two packages are interdependent. The lme4 package requires Matrix_0.96-1 or later but we cannot enforce the other dependency. Please remember that if you upgrade

Full_Name: Dale Barr Version: 2.5.1 (patched) OS: Ubuntu linux x86_64 Submission from: (NULL) (138.23.70.108) When RMySQL is loaded in before lme4, the summary() function for lmer objects in the lme4 packages produces the following error: Error in printMer(object) : no slot of name "status" for this object of class "table" When RMySQL is loaded AFTER lme4, however, no such

Hi guys, I'm very new to R and have been teaching myself over the past few months - it's a great tool and I'm hoping to use it to analyse my PhD data.As I'm a bit of a newb, I'd really appreciate any feedback and/or guidance with regards to the following questions that relate to generalized linearmixed modelling (or, at least, I think they do!)(if there is a 'better',