[R] Multivariate Maximum Likelihood Estimation

[Konrad BLOCHER]

OK I got gls running but this is the error message that I got:

> gls_results <- gls(LnWRPK ~ LnWGDP+LnWYIELD,correlation = corAR1)

Error in switch(mode(x), "NULL" = structure(NULL, class = "formula"),  :
  invalid formula

Google didn't give any results unfortunately.

Help! :)

Thanks,

KB

> Have you tried gls()?
>
>
> ------------------------------------------------------------------------
----
> ir. Thierry Onkelinx
> Instituut voor natuur- en bosonderzoek / Research Institute for Nature
and Forest
> Cel biometrie, methodologie en kwaliteitszorg / Section biometrics,
methodology and quality assurance
> Gaverstraat 4
> 9500 Geraardsbergen
> Belgium
> tel. + 32 54/436 185
> Thierry.Onkelinx at inbo.be
> www.inbo.be
>
> Do not put your faith in what statistics say until you have carefully
considered what they do not say.  ~William W. Watt
> A statistical analysis, properly conducted, is a delicate dissection of
uncertainties, a surgery of suppositions. ~M.J.Moroney
>
> -----Oorspronkelijk bericht-----
> Van: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org]
Namens Konrad BLOCHER
> Verzonden: woensdag 6 februari 2008 12:12
> Aan: r-help at r-project.org
> Onderwerp: [R] Multivariate Maximum Likelihood Estimation
>
> Hi,
>
> I am trying to perform Maximum Likelihood estimation of a Multivariate
model (2 independent variables + intercept) with autocorrelated errors
of
> 1st order (ar(1)).
>
> Does R have a function for that? I could only find an univariate option
(ar.mle function) and when writing my own I find that it is pretty
memory-consuming (and sometimes wrong) so there must be a better way.
>
> Thanks,
>
> KB
>
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