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. 📈

Bindings for Additive TidyModels

The parsnip backend for GAM Models.

GAM-based Spatial Surplus Production Models

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

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).

Statistical forecasting of Intesa Sanpaolo (ISP.MI) stock prices using R. This project compares traditional econometric models (ARIMA, ETS) with modern hybrid approaches (GAM, Prophet + ARIMA) to predict market trends

My scripts from BL5233 lectures and practicals.

Repository of the gamCopula R Package

Various GAM/GLM analysis script + SDM using sdmTMB (example)

Creación transectos regulares de 15nm a partir de datos de vuelo. Realización de 2 modelos gam binomial con enlace logit para calcular probabilidad de presencia. Model gam con hora, clorofila y profundidad (gam) y modelo con las mismas variables más posición (gam_pos)

GAM with Super Learner smoother

🔍 Fuel efficiency (mpg) analysis and prediction using linear regression and GAM models on the StatLib Auto dataset (1983). Includes preprocessing, correlation, subset selection, and model evaluation in R.

Code for full subsets model fitting using GA(M)M

Functions and code for building the FFSgam package.