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...s how it's done in the lmeSplines- documentation. Any hints would be greatly appreciated- I'm trying to write a suite of functions that will transform additive models into their mixed-effects representation like lmeSplines but using lmer() instead of lme(). Thank you for your time, Fabian Scheipl -- Echte DSL-Flatrate dauerhaft f?r 0,- Euro*. Nur noch kurze Zeit!

Full_Name: Fabian Scheipl Version: 2.8.0 OS: Windows, Linux Submission from: (NULL) (138.246.7.150) It seems to me that the documentation for body<- is wrong. The help file for body(fun, envir = environment(fun)) <- value says that: value can be an expression or a list of R expressions. This produces errors ho...

...tage of multi-core processors via multicore or snow. The package uses standard formula syntax so that complex models can be specified very concisely. It features powerful and user friendly visualizations using ggplot2. ---------------------------------------------------------------------- Fabian Scheipl Department of Statistics Ludwig-Maximilians-University Munich Ludwigstr. 33, room 239 80539 Munich Germany Phone: +49-89-2180-2284 http://www.statistik.lmu.de/~scheipl/ _______________________________________________ R-packages mailing list R-packages at r-project.org https://stat.ethz.ch/mailman/...

...tage of multi-core processors via multicore or snow. The package uses standard formula syntax so that complex models can be specified very concisely. It features powerful and user friendly visualizations using ggplot2. ---------------------------------------------------------------------- Fabian Scheipl Department of Statistics Ludwig-Maximilians-University Munich Ludwigstr. 33, room 239 80539 Munich Germany Phone: +49-89-2180-2284 http://www.statistik.lmu.de/~scheipl/ _______________________________________________ R-packages mailing list R-packages at r-project.org https://stat.ethz.ch/mailman/...

...be as.function(c(as.list(formals(fun)), list(value)), envir) but that does change the behaviour for a length-one list 'value'. It seems a fair guess that no one is intentionally relying on the latter, but you never know .... On Fri, 21 Nov 2008, Peter Dalgaard wrote: > fabian.scheipl at stat.uni-muenchen.de wrote: >> Full_Name: Fabian Scheipl >> Version: 2.8.0 >> OS: Windows, Linux >> Submission from: (NULL) (138.246.7.150) >> >> >> It seems to me that the documentation for body<- is wrong. >> The help file for >> body...

...the future since i need to be able to compare these two methods? and, most importantly, 3) what in R.A.Fisher's name is happening here? version information: Version 2.3.1 (2006-06-01) i386-pc-mingw32 .Machine$double.eps is 2.220446e-16 (does it matter?) thanks for your time, -- Fabian Scheipl f.abian at gmx.net "Feel free" ? 10 GB Mailbox, 100 FreeSMS/Monat ...

I wonder whether any of you know of an efficient way to calculate the approximate degrees of freedom of a gamm() fit. Calculating the smoother/projection matrix S: y -> \hat y and then its trace by sum(eigen(S))$values is what I've been doing so far- but I was hoping there might be a more efficient way than doing the spectral decomposition of an NxN-matrix. The degrees of freedom

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Wouldn't it make programming more error-resistant if vectors were initialized with missing data, instad of zeroes or ""? That way, if you assign values to a vector elementwise and you miss some elements (because their indices were not selected or because the assignment didn't work out, see below for code examples) this would be immediately obvious from the value of the vector

Dear lmer-ers, My thanks for all of you who are sharing your trials and tribulations publicly. I was hoping to elicit some feedback on my thoughts on denominator degrees of freedom for F ratios in mixed models. These thoughts and practices result from my reading of previous postings by Doug Bates and others. - I start by assuming that the appropriate denominator degrees lies between n

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Dear R-users, I'd like to announce the release of the amer-package that adds the capability to fit generalized additive mixed models to lme4. It includes a vignette with real data examples and a brief summary of the theory behind the implementation. Best, Fabian [[alternative HTML version deleted]] _______________________________________________ R-packages mailing list R-packages at

Dear R-users, I'd like to announce the release of the amer-package that adds the capability to fit generalized additive mixed models to lme4. It includes a vignette with real data examples and a brief summary of the theory behind the implementation. Best, Fabian [[alternative HTML version deleted]] _______________________________________________ R-packages mailing list R-packages at

I'd like to compare tests based on the mixed model representation of additive models, testing among others y=f(x1)+f(x2) vs y=f(x1)+f(x2)+f(x1,x2) (testing for additivity) In mixed model representation, where X represents the unpenalized part of the spline functions and Z the "wiggly" parts, this would be: y=X%*%beta+ Z_1%*%b_1+ Z_2%*%b_2 vs y=X%*%beta+ Z_1%*%b_1+ Z_2%*%b_2 + Z_12