BrainCon: Inference the Partial Correlations Based on Time Series Data

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>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: BrainCon results


Reference manual: BrainCon.pdf


Package source: BrainCon_0.3.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): BrainCon_0.3.0.tgz, r-oldrel (arm64): BrainCon_0.3.0.tgz, r-release (x86_64): BrainCon_0.3.0.tgz, r-oldrel (x86_64): BrainCon_0.3.0.tgz
Old sources: BrainCon archive


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