[R] LaTex error when creating DVI version when compiling package

From: Patrick Giraudoux <patrick.giraudoux_at_univ-fcomte.fr>
Date: Sat 29 Oct 2005 - 17:36:23 EST

Dear Listers,

I got this message when compiling a package:

The message is quite explicit but I struggled a lot before understanding that the trouble comes from a single file "selMod.rd" among 44 topics. Even though I have checked it ten times and even rewrite it on prompt(selMod), I cannot find out what is wrong with it.

Can somebody used with LaTex and the format of R *.rd file have a quick look to the attached contents and tell me if he can detect some obvious faulty writing?

Thanks in advance,



\title{ Model selection according to information theoretic methods }

 Handles lm, glm and list of models lm, glm, lme and nlme objects and provides parameters to compare models according to Anderson et al. (1998) }

    selMod(aModel, Order = "AICc", ...) group method

    selMod.lm(aModel, Order = "AICc", dropNull = FALSE, selconv=TRUE, ...)     selMod.list(aModel, Order = "AICc", ...) }


  \item{aModel}{ a lm or glm model or a list of lm or glm models }
  \item{dropNull}{ if TRUE, drops the simplest model (e.g. 'y~1')  }
  \item{Order}{ if set to "AICc" (default) sort the models on this 
parameter, otherwise "AIC" is allowed }
  \item{selconv}{ if TRUE (default) keep the models for which convergence is obtained (glm object only) and with no anova singularity (lm and glm) }
  \item{...}{ other parameters to be passed as arguments (not used here) } }


  This function provides parameters used in the information theoretic methods for model comparisons. lm and glm objects can be passed directly as the upper scope of term addition (all terms added).   Every model from 'y~1' is computed adding one term at a time until the upper scope model is derived. A list of user specified lm, glm, lme or nlme objects can alternately be passed.


 A list with the following items:
  \item{AIC}{a data.frame including LL, the maximized log-likelihood; K the number of estimated parameters; N2K, number of observations/K; AIC, the Akaike index criterion; deltAIC, the difference between AIC and the lowest AIC value; w_i, the Akaike weights; AICc, the second order Akaike criterion; deltAICc, the difference between AICc and the lowest AICc value; w_ic, the AICc weights }
  \item{models}{the list of models}

    Anderson, D.R., Link, W.A., Johnson, D.H. and Burnham, K.P. (2001). Suggestions for presenting the results of data analyses. Journal of Wildlife Management, 65, 373-378; Burnham, K.P. and Anderson, D.R. (2002) Model Selection and Multimodel Inference: a Practical Information-Theoretic Approach, 2nd edn., Springer-Verlag, New York. 353 pp  }
\author{ Patrick Giraudoux and David Pleydell: pgiraudo@univ-fcomte.fr,
dpleydel@univ-fcomte.fr }

\seealso{ \code{\link{AIC}},\code{\link{logLik}} }

 anorex.1 <- lm(Postwt ~ Prewt*Treat, data = anorexia)  selMod(anorex.1)
 anorex.2 <- glm(Postwt ~ Prewt*Treat, family=gaussian,data = anorexia)  selMod(anorex.2)
 anorex.3<-lm(Postwt ~ Prewt+Treat, data = anorexia)  selMod(list(anorex.1,anorex.2,anorex.3)) }
\keyword{ models }

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https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html Received on Sat Oct 29 17:55:45 2005

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