BrainCon

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)[https://doi.org/10.1080%2F01621459.2021.1917417] and Genovese and Wasserman. (2006)[https://doi.org/10.1198%2F016214506000000339]. 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.

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