[R] MAFA and DFA for short time series

[Stéphane Dray]

Not sure about mafa and brodgar but ade4 has multispati. This performs a 
multivariate analysis which maximizes the product of autocorrelation by 
variance. I have a manuscript submitted to JVS (in revision) where the 
method is presented that I could send;



Chabot Denis wrote:
> Hi,
>
> recently I heard a talk where MAFA (min/max autocorrelation factor  
> analysis) and DFA (dynamic factor analyses) were used to analyse  
> short time series typical of fisheries data.
>
> I searched on internet to learn more about these techniques and  
> (hopefully) to learn how to perform them in R.
>
> The articles I found actually all used a commercial software called  
> Brodgar (www.brodgar.com). Interestingly, the later can link to R for  
> graphical output and some analyses (like GAM) (i.e. Brodgar produces  
> R scripts from choices users make in their GUI and sends them to R).
>
> I would prefer to do the time series analysis in R. As there is no  
> Mac version of Brodgar, I have even more incentive to do MAFA and DFA  
> in R.
>
> Does anyone know of a package to do such analyses? Maybe other names  
> are used for these techniques, which would explain why I always end  
> up at Brodgar when searching for MAFA?
>
> Or maybe someone has written his/her own functions for such analyses  
> and would agree to share them?
>
> Sincerely,
>
> Denis Chabot
>
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>   


-- 
Stéphane DRAY (dray at biomserv.univ-lyon1.fr )
Laboratoire BBE-CNRS-UMR-5558, Univ. C. Bernard - Lyon I
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