ggplot-based graphics and useful functions for GAMs fitted using the mgcv package
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Updated
Aug 11, 2024 - R
ggplot-based graphics and useful functions for GAMs fitted using the mgcv package
A document introducing generalized additive models.📈
👓 Functions related to R visualizations
Functions for using mgcv for mixed models. 📈
The parsnip backend for GAM Models.
Bindings for Additive TidyModels
An R package which provides a a neural network framework based on Generalized Additive Models
GAM-based model that predicts FIP based on expected whiff rate, command and expected contact from Statcast data
My scripts from BL5233 lectures and practicals.
Boosting models for fitting generalized additive models for location, shape and scale (GAMLSS) to potentially high dimensional data. The current relase version can be found on CRAN (https://cran.r-project.org/package=gamboostLSS).
Code for full subsets model fitting using GA(M)M
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