[R] Non-normal residuals.

Karl Ove Hufthammer karl at huftis.org
Wed Oct 28 09:41:30 CET 2009


On Tue, 27 Oct 2009 18:06:02 -0400 Ben Bolker <bolker at 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)?

-- 
Karl Ove Hufthammer



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