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.

Getting started

Package details

AuthorYunhaonan Yang [aut, cre], Peng Wu [aut], Xin Gai [aut], Yumou Qiu [aut], Xiaohua Zhou [aut]
MaintainerYunhaonan Yang <haonan_yy@pku.edu.cn>
LicenseGPL (>= 2)
Version0.3.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("BrainCon")

Try the BrainCon package in your browser

Any scripts or data that you put into this service are public.

BrainCon documentation built on May 31, 2023, 6:36 p.m.