baygel

This R package offers block Gibbs samplers for the Bayesian (adaptive) graphical lasso, ridge, and naive elastic net priors. These samplers facilitate the simulation of the posterior distribution of precision matrices for Gaussian distributed data and were originally proposed by: Wang (2012) doi:10.1214/12-BA729; Smith et al. (2022) doi:10.48550/arXiv.2210.16290 and Smith et al. (2023) doi:10.48550/arXiv.2306.14199, respectively.

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