[R] MAFA and DFA for short time series
dray at biomserv.univ-lyon1.fr
Wed Apr 11 16:37:31 CEST 2007
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:
> 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?
> Denis Chabot
> R-help at stat.math.ethz.ch mailing list
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
Stéphane DRAY (dray at biomserv.univ-lyon1.fr )
Laboratoire BBE-CNRS-UMR-5558, Univ. C. Bernard - Lyon I
43, Bd du 11 Novembre 1918, 69622 Villeurbanne Cedex, France
Tel: 33 4 72 43 27 57 Fax: 33 4 72 43 13 88
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