nyiuab/BhGLM: Bayesian hierarchical GLMs and survival models, with applications to Genomics and Epidemiology

Functions for setting up and fitting various Bayesian hierarchical models, for numerically and graphically summarizing the fitted models, and for evaluating the predictive performance. The functions can be used to analyze not only general data but also large-scale genomic data (i.e., detecting disease-associated genes or variants, predictive and prognostic modeling of diseases and traits).

Getting started

Package details

AuthorNengjun Yi <[email protected]>
MaintainerNengjun Yi <[email protected]>
LicenseMIT
Version1.1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("nyiuab/BhGLM")
nyiuab/BhGLM documentation built on Feb. 22, 2020, 3:33 a.m.