inf.mat: Information Matrix of Gaussian Graphical Model
In FrankD/nethet: A bioconductor package for high-dimensional exploration of biological network heterogeneity
Description
Usage
Arguments
Details
Value
Author(s)
Description
Compute Information Matrix of Gaussian Graphical Model
Usage
1
Arguments
Sig
Sig=solve(SigInv) true covariance matrix under H0
include.mean
no descr
Details
computes E_0[s(Y;Omega)s(Y;Omega)'] where s(Y;Omega)=(d/dOmega) LogLik
Value
no descr
Author(s)
n.stadler
FrankD/nethet documentation built on Oct. 5, 2020, 8:22 a.m.
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Description Usage Arguments Details Value Author(s)
Description
Compute Information Matrix of Gaussian Graphical Model
Usage
1 |
Arguments
Sig |
Sig=solve(SigInv) true covariance matrix under H0 |
include.mean |
no descr |
Details
computes E_0[s(Y;Omega)s(Y;Omega)'] where s(Y;Omega)=(d/dOmega) LogLik
Value
no descr
Author(s)
n.stadler
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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