[R] Multi response GAM
Highland Statistics Ltd
h|gh@t@t @end|ng |rom h|gh@t@t@com
Sat Apr 18 12:25:01 CEST 2020
Try R-INLA. It will allow you to model all three diet class time series
in one model (even allowing for different distributions if required).
And you can also include correlation between the time series. And test
whether those diet classes have the same trend or not.
Date: Fri, 17 Apr 2020 22:45:33 +0000
From: Tristan Kosciuch <tristan.kosciuch using mail.mcgill.ca>
To: "r-help using R-project.org" <r-help using R-project.org>
Subject: [R] Multi response GAM
<YQBPR0101MB134869D0F8483166E80901E5BBD90 using YQBPR0101MB1348.CANPRD01.PROD.OUTLOOK.COM>
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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.
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Dr. Alain F. Zuur
Highland Statistics Ltd.
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AB41 6DZ Newburgh, UK
Email: highstat using highstat.com
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