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.
| Version: |
0.2.0 |
| Depends: |
R (≥ 2.10) |
| Imports: |
glmnet, MASS |
| Published: |
2022-04-21 |
| Author: |
Yunhaonan Yang [aut, cre],
Peng Wu [aut],
Xin Gai [aut],
Yumou Qiu [aut],
Xiaohua Zhou [aut] |
| Maintainer: |
Yunhaonan Yang <haonan_yy at pku.edu.cn> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
no |
| CRAN checks: |
BrainCon results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=BrainCon
to link to this page.