A document introducing generalized additive models.📈

ggplot-based graphics and useful functions for GAMs fitted using the mgcv package

👓 Functions related to R visualizations

Functions for using mgcv for mixed models. 📈

My scripts from BL5233 lectures and practicals.

The parsnip backend for GAM Models.

GAM-based Spatial Surplus Production Models

Bindings for Additive TidyModels

GAM with Super Learner smoother

An R package which provides a a neural network framework based on Generalized Additive Models

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).

Additive quantile regression R package

Repository of the gamCopula R Package

An R package for interactive visualization of GAM models

Functions and code for building the FFSgam package.

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

GAM-based model that predicts FIP based on expected whiff rate, command and expected contact from Statcast data

Skripsi yang berjudul: Pemodelan Kerugian pada Asuransi Kendaraan Bermotor Menggunakan Generalized Linear Models dan Generalized Additive Models.