estimate_network: Estimation of the network structure (edges)
In jchiquet/janine: Just Another Network INference mEthod
View source: R/estimate_network.R
Description
The network is estimated with the adaptive Graphical-Lasso, where weigths are inversely
proportional to the probability of connection estimated by the SBM
Usage
1
estimate_network(S, lambda, W = matrix(1, nrow(S), ncol(S)))
Arguments
S
a d x d symmetric empirical covariance matrix
lambda
postive real tuning the network sparsity
W
a d x d matrix of weights
jchiquet/janine documentation built on April 16, 2020, 1:52 a.m.
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View source: R/estimate_network.R
Description
The network is estimated with the adaptive Graphical-Lasso, where weigths are inversely proportional to the probability of connection estimated by the SBM
Usage
1 | estimate_network(S, lambda, W = matrix(1, nrow(S), ncol(S)))
|
Arguments
S |
a d x d symmetric empirical covariance matrix |
lambda |
postive real tuning the network sparsity |
W |
a d x d matrix of weights |
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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