README.md

In bayesGAM: Fit Multivariate Response Generalized Additive Models using Hamiltonian Monte Carlo

bayesGAM

Bayesian generalized additive models using Stan

The bayesGAM package is designed to provide a user friendly option to fit univariate and multivariate response Generalized Additive Models (GAM) using Hamiltonian Monte Carlo (HMC) with few technical burdens. The R functions in this package use rstan (Stan Development Team 2020) to call Stan routines that run the HMC simulations. The Stan code for these models is already translated to C++ and pre-compiled for the user. The programming formulation for models in bayesGAM is designed to be familiar to statisticians and analysts who fit statistical models in R.

bayesGAM documentation built on March 18, 2022, 6:29 p.m.