Me_pieKt

All Implemented Interfaces:


public final class Me_pieKt

Nested Class Summary

Nested Classes
Modifier and Type	Class	Description

Field Summary

Fields
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Constructor Summary

Constructors
Constructor	Description

Enum Constant Summary

Enum Constants
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Method Summary

Modifier and Type	Method	Description
`final static Matrix`	`me_pie(Matrix H0, Matrix H1)`	Computes the stationary initial probability for an ME/RAP distribution.
`final static Matrix`	`me_pie(MatrixCell ME)`	Computes the stationary initial probability for an ME/RAP distribution using matrices stored in a MatrixCell.

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Constructor Detail
- Method Detail
  - me_pie
```
 final static Matrix me_pie(Matrix H0, Matrix H1)
```
    Computes the stationary initial probability for an ME/RAP distribution.
    For RAP distributions with matrices (H0, H1), this computes the stationary distribution of the generator Q = H0 + H1, which satisfies: pi * Q = 0 and pi * e = 1
    This is equivalent to map_pie for the process representation.
    
    Parameters:
    
    H0 - The H0 matrix (hidden transitions)
    
    H1 - The H1 matrix (visible transitions)
    
    Returns:
    
    The stationary initial probability vector
  - me_pie
```
 final static Matrix me_pie(MatrixCell ME)
```
    Computes the stationary initial probability for an ME/RAP distribution using matrices stored in a MatrixCell.
    
    Parameters:
    
    ME - The Matrix Exponential/RAP distribution stored in a MatrixCell
    
    Returns:
    
    The stationary initial probability vector