[R] Multi response GAM

Abby Spurdle @purd|e@@ @end|ng |rom gm@||@com
Sat Apr 18 01:18:21 CEST 2020

It might be possible via the VGAM package:

But I've never used this package, so not sure.

It may also be possible to use a single response, by including
additional explanatory terms.
This is what I would do, if I could...

Noting that some GAM implementations allow categorical variables and

On Sat, Apr 18, 2020 at 11:00 AM Tristan Kosciuch
<tristan.kosciuch using mail.mcgill.ca> wrote:
> Hello,
> I am modelling the diet of Nile perch through time. I have 3 diet classes as
> my response variables; fish 1, fish 2, and invertebrates.
> The response variables are correlated, declines in invert consumption ~
> increase in fish consumption. Any advice on how to handle this would be
> appreciated. I would like to use GAMs as my time series shows fluctuations
> that could only be fit by high order polynomials if I were to use a linear
> model, but open to suggestions.
> Thank you for your time.
> P.s. I will be comparing the fit of the time series GAM with a model based
> on other predictors, with a training and validation split for my data.
> ---
> Tristan Kosciuch
> Stewart Biology Building, McGill University
> 1205 Dr Penfield Ave, Montreal QC H3A 1B1
>         [[alternative HTML version deleted]]
> ______________________________________________
> R-help using r-project.org mailing list -- To UNSUBSCRIBE and more, see
> 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.

More information about the R-help mailing list