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.