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 > > ______________________________________________ > [email protected] mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > > > -- Stéphane DRAY ([EMAIL PROTECTED] ) 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 http://biomserv.univ-lyon1.fr/~dray/ ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
