getinvcov: Generate an inverse covariance matrix with a given sparsity...
In FrankD/nethet: A bioconductor package for high-dimensional exploration of biological network heterogeneity
Description
Usage
Arguments
Value
Description
Generate an inverse covariance matrix with a given sparsity and
dimensionality
Usage
1
getinvcov(p, s, a.diff = 5, b.diff = 5, magn.diag = 0, emin = 0.1)
Arguments
p
Dimensionality
s
Sparsity
a.diff
binomial parameter
b.diff
binomial parameter
magn.diag
Magnitude
emin
e min
Value
Inverse covariance matrix
Internal function
FrankD/nethet documentation built on Oct. 5, 2020, 8:22 a.m.
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Description Usage Arguments Value
Description
Generate an inverse covariance matrix with a given sparsity and dimensionality
Usage
1 | getinvcov(p, s, a.diff = 5, b.diff = 5, magn.diag = 0, emin = 0.1)
|
Arguments
p |
Dimensionality |
s |
Sparsity |
a.diff |
binomial parameter |
b.diff |
binomial parameter |
magn.diag |
Magnitude |
emin |
e min |
Value
Inverse covariance matrix Internal function
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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