Re: [R] Multi response GAM

You might want to start by re-expressing the "amounts" variables to total amount * (relative fish 1, relative fish 2, invertebrates) and then using the Isometric Log-ratio transformation to convert the compositional part to orthonormal coordinates. https://stats.stackexchange.com/questions/259208

Re: [R] Multi response GAM

-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://rsee

Re: [R] Multi response GAM

-- Message: 5 Date: Fri, 17 Apr 2020 22:45:33 + From: Tristan Kosciuch To: "r-help@R-project.org" Subject: [R] Multi response GAM Message-ID: Content-Type: text/plain; charset="utf-8" Hello, I am modelling the diet of Nile perch through time. I have

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. This brought up what looked to me like useful hits. And of course, don't

Re: [R] Multi response GAM

It might be possible via the VGAM package: https://cran.r-project.org/package=VGAM 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 implementatio

[R] Multi response GAM

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