prec2dens: Calculate Dens value from Precision Matrix
In neuroconductor/DensParcorr: Dens-Based Method for Partial Correlation Estimation in Large Scale Brain Networks
Description
Usage
Arguments
Value
Author(s)
References
Description
This function evaluates the density level of a precision matrix based on the Dens criterion function in equation (5) of Wang et al. (2016).
Usage
1
prec2dens(precision)
Arguments
precision
Input precision matrix (symmetric and positive definite).
Value
Density level from Precision 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
neuroconductor/DensParcorr documentation built on May 17, 2021, 10:30 p.m.
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Description Usage Arguments Value Author(s) References
Description
This function evaluates the density level of a precision matrix based on the Dens criterion function in equation (5) of Wang et al. (2016).
Usage
1 | prec2dens(precision)
|
Arguments
precision |
Input precision matrix (symmetric and positive definite). |
Value
Density level from Precision 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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