A statistical analysis, properly conducted, is a delicate dissection
> of
> uncertainties, a surgery of suppositions. ~M.J.Moroney
>>
>> -Oorspronkelijk bericht-
>> Van: [EMAIL PROTECTED]
> [mailto:[EMAIL PROTECTED]
> Namens Konrad BLOCHER
>> Verzonden:
rwerp: Re: [R] Multivariate Maximum Likelihood Estimation
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"), :
inva
ot 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: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]
Namens Konrad BLOCHER
> Verzonden: woens
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
> >
> > -O
ositions. ~M.J.Moroney
>
> -Oorspronkelijk bericht-
> Van: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]
> Namens Konrad BLOCHER
> Verzonden: woensdag 6 februari 2008 12:12
> Aan: r-help@r-project.org
> Onderwerp: [R] Multivariate Maximum Likelihood Estimation
>
> H
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
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