build_glasso: Build a Graphical Lasso Network (EBICglasso)
In Nestimate: Network Estimation, Bootstrap, and Higher-Order Analysis
View source: R/estimate_network.R
build_glasso R Documentation
Build a Graphical Lasso Network (EBICglasso)
Description
Convenience wrapper for build_network(method = "glasso").
Computes L1-regularized partial correlations with EBIC model selection.
Usage
build_glasso(data, ...)
Arguments
data
Data frame (sequences or per-observation frequencies) or a
square symmetric matrix (correlation or covariance).
...
Additional arguments passed to build_network.
Value
A netobject (see build_network).
See Also
build_network
Examples
data(srl_strategies)
net <- build_glasso(srl_strategies)
Nestimate documentation built on April 20, 2026, 5:06 p.m.
R Package Documentation
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View source: R/estimate_network.R
| build_glasso | R Documentation |
Build a Graphical Lasso Network (EBICglasso)
Description
Convenience wrapper for build_network(method = "glasso").
Computes L1-regularized partial correlations with EBIC model selection.
Usage
build_glasso(data, ...)
Arguments
data |
Data frame (sequences or per-observation frequencies) or a square symmetric matrix (correlation or covariance). |
... |
Additional arguments passed to |
Value
A netobject (see build_network).
See Also
build_network
Examples
data(srl_strategies)
net <- build_glasso(srl_strategies)
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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