search for: lme4a

Dear R users, I recently downloaded the library lme4a by svn checkout svn://svn.r-forge.r-project.org/svnroot/lme4. I tried to install the library lme4a by copying the downloaded document in the location where all the R libraries are saved. When I try to load the library, I obtain the message library(lme4a) Error in library(lme4a) : 'lme4a'...

Dear R users, I recently downloaded the library lme4a by svn checkout svn://svn.r-forge.r-project.org/svnroot/lme4. I tried to install the library lme4a by copying the downloaded document in the location where all the R libraries are saved. When I try to load the library, I obtain the message library(lme4a) Error in library(lme4a) : 'lme4a...

? stato filtrato un testo allegato il cui set di caratteri non era indicato... Nome: non disponibile URL: <https://stat.ethz.ch/pipermail/r-help/attachments/20101119/262372bf/attachment.pl>

Hello dear friends. How can I make ubuntu to move from version 2.13.1 of R software to version 2.12.2. I want to go down to the less advanced version to use the package "lme4a". Please, I need your help. Thank you in advance.

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

...the fact that "..." should really allow to do this for *several* models simultaneously} In addition to that (and more replying to Doug Bates): Given nlme's tradition of explicitly providing BIC(), and in analogue to the S3 semantics of the AIC() methods, - I think lme4 (and "lme4a" on R-forge) should end up having working AIC() and BIC() directly for fitted models, instead of having to use AIC(logLik(.)) and BIC(logLik(.)) The reason that even the first of this currently does *not* work is that lme4 imports AIC from "stats" but should do so...

I read somewhere (help list, documentation) that the random effects in lme4 uses sparse matrix "technology". I'd like to confirm with others that I can't use a sparse matrix as a fixed effect? I'm getting an "Invalid type (S4) " error. Thanks. ~~~~~~~~~~~~~~~~~~~ -Robin Jeffries Dr.P.H. Candidate in Biostatistics UCLA School of Public Health rjeffries@ucla.edu

...rchives i found a mail thread on this subject, stating that these problems were partialy solved for "R 2.12.0" but only for "lmer()" not for "glmer()". Is someone aware of an update available of these library's ? Or should I install "R 2.12.0" and "lme4a". Kind regards, Tom. ref: >List: r-sig-mixed-models >Subject: Re: [R-sig-ME] lmer() - no applicable method for 'profile' >From: Ben Bolker <bbolker () gmail ! com> >Date: 2011-01-06 15:03:52 >Message-ID: 4D25D9D8.6030402 () gmail ! com >...

...own link: 'mafc.logit(2)' 3) The link function does work with glm so the problem is in lmer, I guess, not in the newly defined link function. Unfortunately I would like to model random effect, so I prefer to use the lmer function. 4) I've also tried with other versions of the package: lme4a and lme4.0, but lme4a seems not to work under the current R version, and lme4.0 gives the same errors as lme4. 5) I've tried to transform the data myself with my own function and fit a linear model on the transformed data. However transforming results in Inf, -Inf and NaN for proportion of 1,...

...ns). > 64 bit on Snow Leopard: R CMD check passes; identical results > > For SVN version of Matrix with CRAN lme4: > > 32 bit on Snow Leopard: different results (on all runs). > 64 bit on Snow Leopard: different results (on all runs) > > For SVN version of Matrix with SVN lme4a: > > 32 bit on Snow Leopard: different results (on all runs). > 64 bit on Snow Leopard: identical results > > I couldn't reproduce on Linux 32/64bit. Is it time to jump into valgrind to try and find the cause? > > Cheers, > Daniel > > > > On 17/07/10 5:...

...To: Benjamin Caldwell <btcaldwell at berkeley.edu> Hi: Someone else (Wayne Zhang, CNA) asked a similar question re hierarchical Gamma models on R-help today and responded to suggestions as follows: "Hglm does the work! Thanks! Also, I find that the developing version of lme4, called lme4a, has the capability to fit Gamma models. And both lme4a and hglm produce results consistent with the published ones. Problems solved!" Perhaps you might find success following his lead? Dennis Ben Bolker <bbolker at gmail.com> * *Tue, May 17, 2011 at 4:50 PM* To: Benjamin Caldwell &l...

Hello, running a mixed model in the package LME4, lmer() Panel data, have about 322 time periods and 50 states, total data set is approx 15K records and about 20 explanatory variables. Not a very large data set. We run random intercepts as well as random coefficients for about 10 of the variables, the rest come in as fixed effects. We are running into a wall of time to execute these models.

Hello, I am trying to use lmLists in the lme4 package and copying over very standard code from the nlme package given in 'Mixed-Effects Models in S and S-Plus'. It appears to not accept an 'I(age-11)' in the formula, though it will accept the formula with out the subtraction of 11 from age. This seems like it would be a bug, since this is standard formula syntax, unless

Hi all, I was trying to fit a Gamma hierarchical model using "glmer", but got weird error message that I could not understand. On the other hand, a similar call to the glmmPQL leads to results that are close to what I expect. I also tried to change tha "nAGQ" argument in "glmer", but it did not solve the problem. The model I was fitting has a simple structure - one

I'm in the process of converting some S3 methods to S4 methods. I have this function : setGeneric("enrichmentCalc", function(rs, organism, seqLen, ...){standardGeneric("enrichmentCalc")}) setMethod("enrichmentCalc", c("GenomeDataList", "BSgenome"), function(rs, organism, seqLen, ...) { ... ... ... })

...I do not know to what extent they can be trusted...in case it is relevant, I am using the 64-bit version of R 2.15.1. (I also tried running it in the 32-bit version, with the same outcome.) On another thread I also saw a suggestion about maybe trying a development version of R with updates using lme4a(?), but I am not sure where/how I would access that. Would this be similar to using the pre-release version of R 3.0? Any help is greatly appreciated! Thank you!! > summary(mm1)Generalized linear mixed model fit by the Laplace approximation Formula: BinomialOutcome ~ AgeGroup + Sex + Study.Sit...

...ibility in specifying structured correlation matrices of different types, but will in general be slower than lme4 -- but perhaps it would be faster to fit a structured (simpler) model you're happy with using lme than the full unstructured model using lmer) (4) the development version of lme4, lme4a, *might* be faster (but is less well tested/less stable). (5) do you have alternatives? I haven't worked with data sets this size myself, but anecdotes on the r-sig-mixed-models list suggest that lmer is faster than most alternatives ... ? Ben Bolker ------------------------------ Mes...