Nick Clark 💹
@njclark.bsky.social
Amplify Research Fellow at University of Queensland. Using #forecasting in #rstats to understand ecological responses to change. Author of the {mvgam} R 📦 for Bayesian multivariate modeling.
Blog 💬: https://ecogambler.netlify.app/
Views are my own
Blog 💬: https://ecogambler.netlify.app/
Views are my own
What aspects do you find confusing? I work quite a lot with GAMs and HGAMs, and have a few posts on the topics that may help ecogambler.netlify.app/blog/
GAMbler | GAMbler
This is a growing collection of interesting and (hopefully) useful tips for ecological modeling, with (perhaps too much) emphasis on Generalized Additive Models.
ecogambler.netlify.app
November 11, 2025 at 10:20 PM
What aspects do you find confusing? I work quite a lot with GAMs and HGAMs, and have a few posts on the topics that may help ecogambler.netlify.app/blog/
Ah ok. I can't help you there yet unfortunately. {mvgam} will be able to handle that in the next major version but that is a while off. Are you open to modifying the Stan code yourself?
October 21, 2025 at 8:33 PM
Ah ok. I can't help you there yet unfortunately. {mvgam} will be able to handle that in the next major version but that is a while off. Are you open to modifying the Stan code yourself?
Are all of your observations of the same distribution? If so you can use {mvgam} to do this, either using latent factors to approximate residual vcv matrix or fully parameterized: nicholasjclark.github.io/mvgam/refere...
Fit Joint Species Distribution Models in mvgam — jsdgam
This function sets up a Joint Species Distribution Model whereby the residual
associations among species can be modelled in a reduced-rank format using a
set of latent factors. The factor specificatio...
nicholasjclark.github.io
October 21, 2025 at 8:51 AM
Are all of your observations of the same distribution? If so you can use {mvgam} to do this, either using latent factors to approximate residual vcv matrix or fully parameterized: nicholasjclark.github.io/mvgam/refere...