A statistical tool to inference the multi-level partial correlations based on multi-subject time series data, especially for brain functional connectivity. It combines both individual and population level inference by using the methods of Qiu and Zhou. (2021)<doi:10.1080/01621459.2021.1917417> and Genovese and Wasserman. (2006)<doi:10.1198/016214506000000339>. It realizes two reliable estimation methods of partial correlation coefficients, using scaled lasso and lasso. It can be used to estimate individual- or population-level partial correlations, identify nonzero ones, and find out unequal partial correlation coefficients between two populations.
Version: 0.3.0 Depends: R (≥ 2.10) Imports: glmnet, MASS Published: 2023-05-22 DOI: 10.32614/CRAN.package.BrainCon Author: Yunhaonan Yang [aut, cre], Peng Wu [aut], Xin Gai [aut], Yumou Qiu [aut], Xiaohua Zhou [aut] Maintainer: Yunhaonan Yang <haonan_yy at pku.edu.cn> License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] NeedsCompilation: no CRAN checks: BrainCon results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=BrainCon to link to this page.
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