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This pacakge estimates Gaussian graphical models (i.e., partial correlation networks), specifically in low dimensional settings that are common in the social-behavioral sciences (p < n). The current methods use multiple regression or a non-parametric boostrap singular value decomposition.

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Williams, D. R., Rhemtulla, M., Wysocki, A., & Rast, P. (2018, April 12). On Non-Regularized Estimation of Psychological Networks.