mixedBayes: Bayesian Longitudinal Regularized Quantile Mixed Model

With high-dimensional omics features, repeated measure ANOVA leads to longitudinal gene-environment interaction studies that have intra-cluster correlations, outlying observations and structured sparsity arising from the ANOVA design. In this package, we have developed robust sparse Bayesian mixed effect models tailored for the above studies (Fan et al. (2025) <doi:10.1093/jrsssc/qlaf027>). An efficient Gibbs sampler has been developed to facilitate fast computation. The Markov chain Monte Carlo algorithms of the proposed and alternative methods are efficiently implemented in 'C++'. The development of this software package and the associated statistical methods have been partially supported by an Innovative Research Award from Johnson Cancer Research Center, Kansas State University.

Package details

AuthorKun Fan [aut, cre], Cen Wu [aut]
MaintainerKun Fan <kfan@ksu.edu>
LicenseGPL-2
Version0.1.8
URL https://github.com/kunfa/mixedBayes
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("mixedBayes")

Try the mixedBayes package in your browser

Any scripts or data that you put into this service are public.

mixedBayes documentation built on June 8, 2025, 11:04 a.m.