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. 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 can be used to identify nonzero individual- or population-level partial correlations, and find out unequal partial correlation coefficients between two populations.

Version: 0.1.0
Depends: R (≥ 2.10)
Imports: glmnet, MASS
Published: 2021-09-30
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

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Reference manual: BrainCon.pdf
Package source: BrainCon_0.1.0.tar.gz
Windows binaries: r-devel: BrainCon_0.1.0.zip, r-release: BrainCon_0.1.0.zip, r-oldrel: BrainCon_0.1.0.zip
macOS binaries: r-release (arm64): BrainCon_0.1.0.tgz, r-release (x86_64): BrainCon_0.1.0.tgz, r-oldrel: BrainCon_0.1.0.tgz

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