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  "Description": "With high-dimensional omics features, repeated measure\nANOVA leads to longitudinal gene-environment interaction\nstudies that have intra-cluster correlations, outlying\nobservations and structured sparsity arising from the ANOVA\ndesign. In this package, we have developed robust sparse\nBayesian mixed effect models tailored for the above studies\n(Fan et al. (2025) <doi:10.1093/jrsssc/qlaf027>). An efficient\nGibbs sampler has been developed to facilitate fast\ncomputation. The Markov chain Monte Carlo algorithms of the\nproposed and alternative methods are efficiently implemented in\n'C++'. The development of this software package and the\nassociated statistical methods have been partially supported by\nan Innovative Research Award from Johnson Cancer Research\nCenter, Kansas State University.",
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