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)[https://doi.org/10.1080%2F01621459.2021.1917417] and Genovese and Wasserman. (2006)[https://doi.org/10.1198%2F016214506000000339]. 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.
- Version0.3.0
- R version≥ 2.10
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release05/22/2023
Team
Yunhaonan Yang
Peng Wu
Show author detailsRolesAuthorXin Gai
Show author detailsRolesAuthorYumou Qiu
Show author detailsRolesAuthorXiaohua Zhou
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 246 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 7 times.
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Last 365 days
This package has been downloaded 3,117 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Sep 11, 2024 with 29 downloads.
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Dependencies
- Imports2 packages