prec2part: Calculate Partial Correlation Matrix from Precision Matrix
In DensParcorr: Dens-Based Method for Partial Correlation Estimation in Large Scale Brain Networks
Description
Usage
Arguments
Value
Author(s)
References
Description
This function is to derive the partial correlation matrix from the precision matrix.
Usage
1
prec2part(Precision)
Arguments
Precision
Input precision matrix (symmetric and positive definite).
Value
Calculated partial correlation matrix.
Author(s)
Yikai Wang, Jian Kang, Phebe Brenne Kemmer and Ying Guo
Maintainer: Yikai Wang yikai.wang@emory.edu
References
Wang, Y., Kang, J., Kemmer P. and Guo, Y. (2016).
An efficient and reliable statistical method for estimating functional connectivity in large scale brain networks using partial correlation.
Front. Neurosci. 10:123. doi: 10.3389/fnins.2016.00123
DensParcorr documentation built on May 2, 2019, 3:33 p.m.
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Description Usage Arguments Value Author(s) References
Description
This function is to derive the partial correlation matrix from the precision matrix.
Usage
1 | prec2part(Precision)
|
Arguments
Precision |
Input precision matrix (symmetric and positive definite). |
Value
Calculated partial correlation matrix.
Author(s)
Yikai Wang, Jian Kang, Phebe Brenne Kemmer and Ying Guo
Maintainer: Yikai Wang yikai.wang@emory.edu
References
Wang, Y., Kang, J., Kemmer P. and Guo, Y. (2016). An efficient and reliable statistical method for estimating functional connectivity in large scale brain networks using partial correlation. Front. Neurosci. 10:123. doi: 10.3389/fnins.2016.00123
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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