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

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

Bindings for Additive TidyModels

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

A document introducing generalized additive models.📈

GAM-based Spatial Surplus Production Models

The parsnip backend for GAM Models.

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

👓 Functions related to R visualizations

Functions for using mgcv for mixed models. 📈

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

Functions and code for building the FFSgam package.

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

An R package for interactive visualization of GAM models

GAM with Super Learner smoother

Repository of the gamCopula R Package