GAM with Super Learner smoother

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).

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

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

GAM-based Spatial Surplus Production Models

The parsnip backend for GAM Models.

Bindings for Additive TidyModels

Functions for using mgcv for mixed models. 📈

👓 Functions related to R visualizations

A document introducing generalized additive models.📈

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