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.
