addition: Enrichment step for constructing the model pool
In hoenlab/SBIC: Structural Bayesian Information Criterion for Graphical Models
Description
Usage
Arguments
Value
Author(s)
Description
This is the esnrichment step in the two-step algorithm to construct the model pool (internal use only)
Usage
1
Arguments
data
An n by p matrix of observations
lambda
Vector of tuning parameter
P
Prior adjacency matrix
Value
A list of model objects
Author(s)
Jie Zhou
hoenlab/SBIC documentation built on March 6, 2021, 11:58 a.m.
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Description Usage Arguments Value Author(s)
Description
This is the esnrichment step in the two-step algorithm to construct the model pool (internal use only)
Usage
1 |
Arguments
data |
An |
lambda |
Vector of tuning parameter |
P |
Prior adjacency matrix |
Value
A list of model objects
Author(s)
Jie Zhou
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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