FAUBZhang/BayesBoost: Bayesian Boosting for Linear Mixed Models

Perform Bayesian Boosting estimation for linear mixed models (LMM) This is a combination of Bayesian inference and boosting technqiue, which benefits from the selection feature of model-based boosting and uncertainty estimation of Bayesian inference.

Getting started

Package details

AuthorBoyao Zhang
MaintainerBoyao Zhang <boyao.zhang@fau.de>
LicenseGPL-3
Version0.1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("FAUBZhang/BayesBoost")
FAUBZhang/BayesBoost documentation built on Dec. 17, 2021, 7:30 p.m.