Package edu.cmu.tetrad.search.score
Class MvpLikelihood
java.lang.Object
edu.cmu.tetrad.search.score.MvpLikelihood
Calculates Mixed Variables Polynomial likelihood. The reference is here:
Andrews, B., Ramsey, J., & Cooper, G. F. (2018). Scoring Bayesian networks of mixed variables. International journal of data science and analytics, 6, 3-18.
- Author:
- Bryan Andrews
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Constructor Summary
ConstructorsConstructorDescriptionMvpLikelihood
(DataSet dataSet, double structurePrior, int fDegree, boolean discretize) -
Method Summary
Modifier and TypeMethodDescriptiondouble
getDoF
(int child_index, int[] parents) double
double
getLik
(int child_index, int[] parents) double
getStructurePrior
(int k)
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Constructor Details
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MvpLikelihood
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Method Details
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getLik
public double getLik(int child_index, int[] parents) -
getDoF
public double getDoF(int child_index, int[] parents) -
getStructurePrior
public double getStructurePrior(int k) -
getEBICprior
public double getEBICprior()
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