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.
Download package here:
devtools::install_github("donaldRwilliams/GGMnonreg")
Williams, D. R., Rhemtulla, M., Wysocki, A., & Rast, P. (2018, April 12). On Non-Regularized Estimation of Psychological Networks. https://doi.org/10.31234/osf.io/xr2vf