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.

Getting started

Package details

AuthorYunhaonan Yang [aut, cre], Peng Wu [aut], Xin Gai [aut], Yumou Qiu [aut], Xiaohua Zhou [aut]
MaintainerYunhaonan Yang <>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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BrainCon documentation built on Sept. 30, 2021, 5:10 p.m.