https://github.com/nicholasjclark/physalia-forecasting-course
Ecological forecasting using Dynamic Generalized Additive Models with R 📦's {mvgam} and {brms}
https://github.com/nicholasjclark/physalia-forecasting-course
brms ecological-modelling forecasting generalised-additive-models generalised-linear-models generalized-additive-models mgcv multilevel-models mvgam stan time-series-analysis vector-autoregression
Last synced: 4 months ago
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Ecological forecasting using Dynamic Generalized Additive Models with R 📦's {mvgam} and {brms}
- Host: GitHub
- URL: https://github.com/nicholasjclark/physalia-forecasting-course
- Owner: nicholasjclark
- Created: 2023-07-24T01:39:14.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2025-03-28T10:49:01.000Z (about 1 year ago)
- Last Synced: 2026-01-12T01:03:55.377Z (5 months ago)
- Topics: brms, ecological-modelling, forecasting, generalised-additive-models, generalised-linear-models, generalized-additive-models, mgcv, multilevel-models, mvgam, stan, time-series-analysis, vector-autoregression
- Language: HTML
- Homepage: https://nicholasjclark.github.io/physalia-forecasting-course/
- Size: 400 MB
- Stars: 40
- Watchers: 2
- Forks: 12
- Open Issues: 2
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Metadata Files:
- Readme: README.html