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BrainCon  

Inference the Partial Correlations Based on Time Series Data
View on CRAN: Click here


Download and install BrainCon package within the R console
Install from CRAN:
install.packages("BrainCon")

Install from Github:
library("remotes")
install_github("cran/BrainCon")

Install by package version:
library("remotes")
install_version("BrainCon", "0.3.0")



Attach the package and use:
library("BrainCon")
Maintained by
Yunhaonan Yang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-09-30
Latest Update: 2023-05-22
Description:
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) and Genovese and Wasserman. (2006). 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.
How to cite:
Yunhaonan Yang (2021). BrainCon: Inference the Partial Correlations Based on Time Series Data. R package version 0.3.0, https://cran.r-project.org/web/packages/BrainCon
Previous versions and publish date:
0.1.0 (2021-09-30 11:10), 0.2.0 (2022-04-21 18:00)
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