Dear Ben Bolker,
I registered inR-Forge, but I still do not know where to download the development version of the package lme4.
When I tried "install.packages("lme4", repos=c("http://lme4.r-forge.r-project.org/repos", getOptions("repos")["CRAN"]))",
the following message is shown:
Installing package into ?C:/Users/.../3.0?
(as ?lib? is unspecified)
Error in install.packages("lme4", repos = c("http://lme4.r-forge.r-project.org/repos", :
could not find function "getOptions"
When I installed "install_github("lme4",user="lme4")", I also failed.
Could you please give me some detailed advice?
Thanks again.
Tetsuya
(2013/08/14 19:00), r-sig-mixed-models-request at r-project.org wrote:
Send R-sig-mixed-models mailing list submissions to r-sig-mixed-models at r-project.org To subscribe or unsubscribe via the World Wide Web, visit
https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models or, via email, send a message with subject or body 'help' to r-sig-mixed-models-request at r-project.org You can reach the person managing the list at r-sig-mixed-models-owner at r-project.org When replying, please edit your Subject line so it is more specific than "Re: Contents of R-sig-mixed-models digest..." Today's Topics: 1. predictions to newdata by LMM through lmer (Tetsuya Michinaka) 2. Re: predictions to newdata by LMM through lmer (Ben Bolker) ---------------------------------------------------------------------- Message: 1 Date: Wed, 14 Aug 2013 11:31:17 +0900 From: Tetsuya Michinaka <zhangyf at affrc.go.jp> To: r-sig-mixed-models at r-project.org Subject: [R-sig-ME] predictions to newdata by LMM through lmer Message-ID: <520AEBF5.1000501 at affrc.go.jp> Content-Type: text/plain; charset=ISO-8859-1; format=flowed Hi, I am fitting a linear mixed model by lme4. It is like this: m1<-lmer(TF~ POP + AG*ELC + (1+AREA| Province) + (1| AREA)+ (1| DIST),DATA, REML=TRUE). I wonder if I can predict TF values by a new dataset, considering fixed and random effects. Would you please give me some advice? Thanks a lot really. Tetsuya Michinaka ------------------------------ Message: 2 Date: Wed, 14 Aug 2013 06:13:00 +0000 (UTC) From: Ben Bolker <bbolker at gmail.com> To: r-sig-mixed-models at r-project.org Subject: Re: [R-sig-ME] predictions to newdata by LMM through lmer Message-ID: <loom.20130814T081138-446 at post.gmane.org> Content-Type: text/plain; charset=us-ascii Tetsuya Michinaka <zhangyf at ...> writes: Hi, I am fitting a linear mixed model by lme4. It is like this: m1<-lmer(TF~ POP + AG*ELC + (1+AREA| Province) + (1| AREA)+ (1| DIST),DATA, REML=TRUE). I wonder if I can predict TF values by a new dataset, considering fixed and random effects. Would you please give me some advice? Thanks a lot really. Tetsuya Michinaka You could try installing the development version of the package, e.g. from R-forge (e.g. see https://github.com/lme4/lme4/blob/master/README.md ) and take a look at ?predict.merMod ... ------------------------------ _______________________________________________ R-sig-mixed-models mailing list R-sig-mixed-models at r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models End of R-sig-mixed-models Digest, Vol 80, Issue 19 **************************************************