Package edu.cmu.tetrad.hybridcg

Class HybridCgModel.HybridCgIm.HybridEstimator

java.lang.Object

edu.cmu.tetrad.hybridcg.HybridCgModel.HybridCgIm.HybridEstimator

Enclosing class:

HybridCgModel.HybridCgIm

public static final class HybridCgModel.HybridCgIm.HybridEstimator
extends Object

The HybridEstimator class estimates Hybrid Causal Graphical Models using Maximum Likelihood Estimation (MLE). It supports both discrete and continuous variables and handles mixed parent configurations. This class provides functionalities to compute probabilities and coefficients, based on the provided Hybrid Causal Graphical Model (HybridCgPm) and an associated data set (DataSet).

Constructor Summary

Constructors

Constructor	Description
HybridEstimator()	Constructs a new instance of the HybridEstimator class using default values.
HybridEstimator(double alpha, boolean shareVarianceAcrossRows)	Constructs a new instance of the HybridEstimator class with the specified parameters.

Method Summary

Modifier and Type	Method	Description
HybridCgModel.HybridCgIm	mle(HybridCgModel.HybridCgPm pm, DataSet data)	Estimates a HybridCgIm model from the given HybridCgPm and DataSet.

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details

HybridEstimator

public HybridEstimator()

Constructs a new instance of the HybridEstimator class using default values. Specifically, the `alpha` parameter is set to 1.0, and the `shareVarianceAcrossRows` parameter is set to false.

This constructor is intended to provide a convenient way to initialize a HybridEstimator with standard default configurations.

HybridEstimator

public HybridEstimator(double alpha,
 boolean shareVarianceAcrossRows)

Constructs a new instance of the HybridEstimator class with the specified parameters.

Parameters:

alpha - the regularization parameter to control the estimation process

shareVarianceAcrossRows - whether to share the variance across rows in the estimation process

Method Details

mle

public HybridCgModel.HybridCgIm mle(HybridCgModel.HybridCgPm pm,
 DataSet data)

Estimates a HybridCgIm model from the given HybridCgPm and DataSet.

Parameters:

pm - the HybridCgPm

data - the DataSet

Returns:

the estimated HybridCgIm model