A Resampling-Based Framework for Network Structure Learning in High-Dimensional Data

ArXi:2605.12706v1 Announce Type: new RSNet is an open-source R package that provides a resampling-based framework for robust and interpretable network inference, designed to address the limited-sample-size challenges common in high-dimensional data. It s both the estimation of partial correlation networks modeled as Gaussian networks and conditional Gaussian Bayesian networks for mixed data types that combine continuous and discrete variables.