A statistical tool to inference the multilevel partial correlations based on multisubject 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 populationlevel partial correlations, identify nonzero ones, and find out unequal partial correlation coefficients between two populations.
Package details 


Author  Yunhaonan Yang [aut, cre], Peng Wu [aut], Xin Gai [aut], Yumou Qiu [aut], Xiaohua Zhou [aut] 
Maintainer  Yunhaonan Yang <haonan_yy@pku.edu.cn> 
License  GPL (>= 2) 
Version  0.2.0 
Package repository  View on CRAN 
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