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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: | 0.3.0 |
| Depends: | R (≥ 2.10) |
| Imports: | glmnet, MASS |
| Published: | 2023-05-22 |
| 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 |
| Reference manual: | BrainCon.pdf |
| Package source: | BrainCon_0.3.0.tar.gz |
| Windows binaries: | r-devel: BrainCon_0.3.0.zip, r-release: BrainCon_0.3.0.zip, r-oldrel: BrainCon_0.3.0.zip |
| macOS binaries: | r-release (arm64): BrainCon_0.3.0.tgz, r-oldrel (arm64): BrainCon_0.3.0.tgz, r-release (x86_64): BrainCon_0.3.0.tgz, r-oldrel (x86_64): BrainCon_0.3.0.tgz |
| Old sources: | BrainCon archive |
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