Thanks, I think family=mvn(d=3)
in mgcv gam() works! --- Tristan Kosciuch Stewart Biology Building, McGill University 1205 Dr Penfield Ave, Montreal QC H3A 1B1 ________________________________ From: Bert Gunter <bgunter.4...@gmail.com> Sent: Friday, April 17, 2020 7:28 PM To: Tristan Kosciuch <tristan.kosci...@mail.mcgill.ca> Cc: r-help@R-project.org <r-help@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.kosci...@mail.mcgill.ca<mailto:tristan.kosci...@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@r-project.org<mailto:R-help@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. [[alternative HTML version deleted]] ______________________________________________ R-help@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.