An introduction to GAM(M)s
-
Updated
Dec 14, 2022 - HTML
#
gamms
Here are 4 public repositories matching this topic...
Reproducible R analysis of Afrikaans nasal airflow and eyetracking data from Coetzee et al. (2022)
-
Updated
May 23, 2026 - R
National abundance trend analysis of England’s river macroinvertebrates (1990–2024). Implements a custom R pipeline using Arrow for big data and seasonal interval-censored GAMMs (mgcv) to reconcile legacy categorical records with modern numeric counts.
data-science r sustainability bayesian-inference biodiversity mgcv time-series-analysis ecological-modelling gamms environmental-data censored-regression
-
Updated
May 23, 2026
National abundance trend analysis of England’s river macroinvertebrates (1990–2024). Implements a custom R pipeline using Arrow for big data and seasonal interval-censored GAMMs (mgcv) to reconcile legacy categorical records with modern numeric counts.
data-science r sustainability bayesian-inference biodiversity mgcv time-series-analysis ecological-modelling gamms environmental-data censored-regression
-
Updated
Apr 1, 2026
Improve this page
Add a description, image, and links to the gamms topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the gamms topic, visit your repo's landing page and select "manage topics."