ccdrAlgorithm: ccdrAlgorithm: CCDr Algorithm for Learning Sparse Gaussian...
In ccdrAlgorithm: CCDr Algorithm for Learning Sparse Gaussian Bayesian Networks
ccdrAlgorithm R Documentation
ccdrAlgorithm: CCDr Algorithm for Learning Sparse Gaussian Bayesian Networks
Description
Implements the CCDr structure learning algorithm as described in
Aragam and Zhou (2015).
Details
The CCDr algorithm uses sparse regularization (L1 or MCP) to produce
a solution path of DAG estimates along a pre-determined grid of hyperparameters.
This package implements a single function, ccdr.run that
runs the main algorithm, and uses sparsebnUtils
for the underlying data structures and methods.
ccdrAlgorithm documentation built on April 12, 2022, 9:06 a.m.
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| ccdrAlgorithm | R Documentation |
ccdrAlgorithm: CCDr Algorithm for Learning Sparse Gaussian Bayesian Networks
Description
Implements the CCDr structure learning algorithm as described in Aragam and Zhou (2015).
Details
The CCDr algorithm uses sparse regularization (L1 or MCP) to produce
a solution path of DAG estimates along a pre-determined grid of hyperparameters.
This package implements a single function, ccdr.run that
runs the main algorithm, and uses sparsebnUtils
for the underlying data structures and methods.
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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