glasso.invcor: Graphical Lasso based on inverse covariance penalty
In nethet: A bioconductor package for high-dimensional exploration of biological network heterogeneity
Description
Usage
Arguments
Value
Author(s)
Description
Graphical Lasso based on inverse covariance penalty
Usage
1
glasso.invcor(s, rho, penalize.diagonal, term = 10^{ -3 })
Arguments
s
no descr
rho
no descr
penalize.diagonal
no descr
term
no descr
Value
w; wi; iter
Author(s)
n.stadler
nethet documentation built on Nov. 8, 2020, 6:54 p.m.
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Description Usage Arguments Value Author(s)
Description
Graphical Lasso based on inverse covariance penalty
Usage
1 | glasso.invcor(s, rho, penalize.diagonal, term = 10^{ -3 })
|
Arguments
s |
no descr |
rho |
no descr |
penalize.diagonal |
no descr |
term |
no descr |
Value
w; wi; iter
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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