On Wed, Oct 28, 2009 at 7:25 AM, David Scott <d.sc...@auckland.ac.nz> wrote: > Karl Ove Hufthammer wrote: >> >> On Tue, 27 Oct 2009 18:06:02 -0400 Ben Bolker <bol...@ufl.edu> wrote: >>> >>> If transforming your data brings you closer to satisfying >>> the assumptions of your analytic methods and having a sensible >>> analysis, then that's good. If it makes things worse, that's bad. >>> Other choices, depending on the situation, include robust methods >>> (for "outlier" problems); generalized linear models etc. (for >>> discrete data from standard distributions); models using t- instead >>> of normally distributed residuals; >> >> I have sometimes wondered about this: Which functions/packages do you use >> to fit a (perhaps just a simple linear) model with t-distributed residuals >> (or residuals of a different distribution)? >> > Package sn has this facility I believe.
Yes, for independent data, but for time series??? Kjetil > > David Scott > > -- > _________________________________________________________________ > David Scott Department of Statistics > The University of Auckland, PB 92019 > Auckland 1142, NEW ZEALAND > Phone: +64 9 923 5055, or +64 9 373 7599 ext 85055 > Email: d.sc...@auckland.ac.nz, Fax: +64 9 373 7018 > > Director of Consulting, Department of Statistics > > ______________________________________________ > R-help@r-project.org 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. > ______________________________________________ R-help@r-project.org 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.