similar to: profile in lme4 and lme4a/lme4b

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' is not a valid installed package R version

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' is not a valid installed package R

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

Dear R users,I'm facing a trivial problem, but I really can't solve it. I've tried a dozen of codes, but I can't get the result I want. The question is: I have a dataframe like this one [,1] [,2] [,3] [,4] [,5] [1,] 1 2 3 4 5 [2,] 2 5 5 4 9 [3,] 1 6 8 1 2 [4,] 8 6 4 1 5 made up of decimal numbers, of course. I want to

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

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Daniel, thanks for the test case. I did run it in valgrind but nothing showed up, however ... I'm starting to have a suspicion that this has something to do with identical() - look at this: > identical(M1,M2) [1] FALSE > all(serialize(M1,NULL)==serialize(M2,NULL)) [1] TRUE > identical(unserialize(serialize(M1,NULL)),unserialize(serialize(M2,NULL))) [1] FALSE >

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

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.

>>>>> "MM" == Martin Maechler <maechler at stat.math.ethz.ch> >>>>> on Tue, 18 May 2010 12:37:21 +0200 writes: >>>>> "GaGr" == Gabor Grothendieck <ggrothendieck at gmail.com> >>>>> on Mon, 17 May 2010 09:45:00 -0400 writes: GaGr> BIC seems like something that would logically go into stats

Dear R users,I come to you with a quite silly question I think, but I hope you can answer me... That is, I've got some problems in using the if and while conditions in a loop. Substantially, I want to select rows in a dataset depending on an index variable (suppose it ranges from 1 to 5), so to make a specific analysis (homemade of course) on thie new dataset. Mi first tought has been to do a

Hello dear R-users, does any of you know a way to perform a multinomial regression with clustered data (i.e. repeated measurements)? I made the first analysis with Stata option vce cluster in the mlogit command but was looking for a similar functionality in R too... thanks all! niccolò [[alternative HTML version deleted]]

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.

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

? Sat, 15 Jun 2024 02:04:31 +0000 "Therneau, Terry M., Ph.D. via R-devel" <r-devel at r-project.org> ?????: > other attached packages: > [1] lme4_1.1-35.1 Matrix_1.7-0 I see you have a new Matrix (1.7-0 from 2024-04-26 with a new ABI) but an older lme4 (1.1-35.1 from 2023-11-05). I reproduced the crash and the giant backtrace by first installing latest lme4 and then

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

I ran across this by accident when working up an example. It uses a data set from the survival package, but nothing else from there. Fails on the Intel machine shown below, and on a virtual linux instance on a newer Mac. Terry > library(survival) > library(lme4) Loading required package: Matrix > sessionInfo() R Under development (unstable) (2024-06-14 r86747) Platform: