similar to: lme-2.8-1.tar.gz uploaded to src/contrib/devel

Jose and I have a version of the lme (linear mixed effects) library that is known to work with at least one example on at least one version of R on at least one computer so that means it is time to upload to CRAN, right? In the near future a file lme_2.8-0.tar.gz will appear in the src/contrib/devel area under CRAN. Please remember this is a snapshot of the development version. We know there

I have created the above directory for contributed R packages that are considered as ``in development''. It is intended as a central marketplace for code that is for various reasons ``unstable'' or ``incomplete'' but might be useful for others. If you want to contribute some code, please include a README file in the tar ball describing the problems etc. I have started

The `src/contrib/Devel' dir contains *bats* Basic time series modelling functions. *dopt* Finding D-optimal experimental designs. *tcltk* Basic interface with Tcl/Tk. *timeslab* Time series routines. *vtcl* Interface to Visual Tcl. which have all been there for a long time. What is the current status, is any of the above getting ready for being moved into

I recently uploaded a new version of the lme contributed library to the main CRAN site. It should be available on mirrors within the next 24 hours. This version matches the beta version of NLME 3.0 for S-PLUS. It only provides methods for linear mixed-effects models in R so it is called lme rather than nlme. The other big thing that is missing in the R version is all the graphics because they

Dear R-Community! For example I have a study with 4 treatment groups (10 subjects per group) and 4 visits. Additionally, the gender is taken into account. I think - and hope this is a goog idea (!) - this data can be analysed using lme as below. In a balanced design everything is fine, but in an unbalanced design there are differences depending on fitting y~visit*treat*gender or

Dear all, Can anyone help me, my R software can not run a nested linear regression by using the lme funcion. The message that appears is  Error: could not find function "lme" I already downloaded and loaded the package, please see below. Thank you in advance for any help! Nadia. > data<-read.csv("/Users/nadiasan1/Desktop/MOE and MOR.csv")> attach(data)>

This question comes up periodically, probably enough to give it a proper thread and maybe point to this thread for reference (similar to the 'conservative anova' thread not too long ago). Moving from lme syntax, which is the function found in the nlme package, to lmer syntax (found in lme4) is not too difficult. It is probably useful to first explain what the differences are between the

This looks like a very cool feature addition to RELENG_7! Are there any performance penalties that you know of with this built in ? ---Mike At 09:13 PM 7/23/2008, Julian Elischer wrote: >julian 2008-07-24 01:13:22 UTC > > FreeBSD src repository > > Modified files: (Branch: RELENG_7) > contrib/pf/pfctl parse.y > lib/libc/sys

Dear Douglas Bates. I just downloaded the compiled version (I'm a poor Windows devil, not yet having found the time to move to a more advanced platform...) from NT- the files are dated 30.5-1999 so they are not old - and the problem persisted....wonder what I did wrong ? R : Copyright 1999, The R Development Core Team Version 0.64.0 Patched (May 3, 1999) R is free software and comes with

Dear people, A somewhat clueless question follows: I just discovered that the lme function in contrib package nlme for R, while similar to the lme function in Splus, does not use the cluster function option. This difference does not appear to be documented in the V&R `R Complements' file. I have data which is divided into 6 groups The lme model is of the form (simplified from the actual

Dear friends. I tried the session below with 10 MB in both vsize and nsize but didn't get the example work. Is this a problem in LME or in me or both or somewhere else or undefined ? R : Copyright 1999, The R Development Core Team Version 0.64.0 Patched (May 3, 1999) R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type

In Baron and Li's "Notes on the use of R for psychology experiments and questionnaires" http://cran.r-project.org/doc/contrib/rpsych.htm they describe a balanced data set for a drug experiment: "... a test of drug treatment effect by one between-subject factor: group (two groups of 8 subjects each) and two within-subject factors: drug (2 levels) and dose (3 levels). "

R-devel.tar.gz seems to be missing from //fangorn.ci.tuwien.ac.at/R/src/devel. Paul Gilbert -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-devel mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To:

Sorry to bring up this old topic again but ... The 2.0 release of Debian Linux is about to happen and the release team requires copyright statements on any code included in the release. Presently there are 4 packages that I have created from R source code and libraries and contributed to the release. I think this will help with the visibility of R when there is a well-regarded release of an

Hello, I need to use a procedure in R that similar to lme in Splus.. is this particular procedure has been implemented in the recent version? thanks. Regards, Peppy Adi-Purnomo Energy Market Analyst Energy Link Ltd Telp.: +64 3 479 2475 Fax. : +64 3 477 8463 www.energylink.co.nz -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

Hi, I have what I believe is a repeated-measures dataset that I'm trying to analyze using lme(). This is *not* homework, but an exercise in my trying to self-teach myself repeated-measure ANOVA for other *real* datasets that I have and that are extremely similar to the following design. I'm fairly sure the dataset described below would work with lme() -- but it'd be great if anybody

Summary: proc mixed vs. lme The objective of this summary is to help people to get more familiar with the specification of random effects with proc mixed or lme. Very useful are the examples of Ramon Littell's book: "SAS System for Mixed Models (1996)" (http://ftp.sas.com/samples/A55235) The same data set's are kindly made available by Douglas Bates in the

Hi List I'm running a series of mixed models using lme, and I wonder if there is a way to sort them by AIC prior to testing using anova (lme1,lme2,lme3,....lme7) other than by hand. My current output looks like this. anova (lme.T97NULL.ml,lme.T97FULL.ml,lme.T97NOINT.ml,lme.T972way.ml,lme.T97fc. ml, lme.T97ns.ml, lme.T97min.ml) Model df AIC BIC logLik

Hi all, I have the output of summary() of an lme object called "lme.exp1", for example ############################################# > summary(lme.exp1) Linear mixed-effects model fit by REML Data: DATA Log-restricted-likelihood: -430.8981 Fixed: fixed.exp1 .... Random effects: Formula: ~-1 + mu1 + log.sig1 | animID Structure: Diagonal mu1 log.sig1

I have created an R-package with datasets which I want my students to install (the package is not on CRAN). 1) I've put the package on the web in a directory called 'data' and I thought I could do: > install.packages("http://gbi.agrsci.dk/statistics/courses/2011-ISMLS-course/data/LiSciData_0.0-03.tar.gz",repos=NULL,type="source") Warning: invalid package