[R] Multi response GAM

Tristan Kosciuch tr|@t@n@ko@c|uch @end|ng |rom m@||@mcg|||@c@
Sat Apr 18 02:08:31 CEST 2020


Thanks, I think

family=mvn(d=3)

​in mgcv gam() works!



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Tristan Kosciuch

Stewart Biology Building, McGill University

1205 Dr Penfield Ave, Montreal QC H3A 1B1

________________________________
From: Bert Gunter <bgunter.4567 using gmail.com>
Sent: Friday, April 17, 2020 7:28 PM
To: Tristan Kosciuch <tristan.kosciuch using mail.mcgill.ca>
Cc: r-help using R-project.org <r-help using r-project.org>
Subject: Re: [R] Multi response GAM

https://cran.r-project.org/web/views/Multivariate.html
https://cran.r-project.org/web/views/Environmetrics.html
https://cran.r-project.org/web/views/TimeSeries.html

Also search on "multiresponse GAM" or similar at rseek.org<http://rseek.org>. This brought up what looked to me like useful hits.
And of course, don't forget Mama Google.

Bert Gunter

"The trouble with having an open mind is that people keep coming along and sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )


On Fri, Apr 17, 2020 at 4:00 PM Tristan Kosciuch <tristan.kosciuch using mail.mcgill.ca<mailto: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

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