loss: Calculate the loss function value for the estimation.
In SusanYuan/Difdtl: Difference of Two Precision Matrices Estimation
Description
Usage
Arguments
Value
Author(s)
References
Description
Calculate the loss function value for the estimation, given the estimation of two precision matrices and the sample covariance matrices of two sample classes.
Usage
1
Arguments
D
The difference of two precision matrics estimation.
S1
The sample covariance matrix for one sample class.
S0
The sample covariance matrix for one sample class.
Value
A vector of loss function value by different matrix norms.
Author(s)
Huili Yuan
References
Huili Yuan, Ruibin Xi and Minghua Deng(2015). Differential Network Analysis via the Lasso Penalized D-Trace Loss. http://arxiv.org/abs/1511.09188
SusanYuan/Difdtl documentation built on May 9, 2019, 3:23 p.m.
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Description Usage Arguments Value Author(s) References
Description
Calculate the loss function value for the estimation, given the estimation of two precision matrices and the sample covariance matrices of two sample classes.
Usage
1 |
Arguments
D |
The difference of two precision matrics estimation. |
S1 |
The sample covariance matrix for one sample class. |
S0 |
The sample covariance matrix for one sample class. |
Value
A vector of loss function value by different matrix norms.
Author(s)
Huili Yuan
References
Huili Yuan, Ruibin Xi and Minghua Deng(2015). Differential Network Analysis via the Lasso Penalized D-Trace Loss. http://arxiv.org/abs/1511.09188
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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