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See:
Description
Interface Summary | |
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ContPhaseVar | |
DiscPhaseVar | |
PhaseVar | This interface defines the behaviour that any Phase-Type distribution should have |
Class Summary | |
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AbstractContPhaseVar | |
AbstractDiscPhaseVar | |
DenseContPhaseVar | This class allows the creation and manipulation of Continuous Phase-type distributions represented by dense matrices. |
DenseDiscPhaseVar | This class allows the creation and manipulation of Discrete Phase-type distributions represented by dense matrices. |
ErlangCoxianVar | Phase-Type representation of an ErlangCoxian distribution as defined by Osogami and Harchol in "Closed form solutions for mapping general distributions to quasi-minimal PH distributions", 2005. |
HyperErlangVar | |
MarkovMatrix | |
MatrixUtils | |
PhaseVarSet | |
Poly | This class represents a polynomial. |
SparseContPhaseVar | |
SparseDiscPhaseVar | |
SuperErlang | |
Term | This class describes a basic term in a super-Erlang function It has the form: alpha lambda^n * t^(n-1) * exp(^-m*lambda) / (n-1)! Or alpha * R(n,lambda) where R(n,lambda) is an Erlang pdf. |
Utils |
This package provides capabilities for modeling Phase type distributions. Phase type distributions are a very general family of destribution, which can be shown to be dense. That means that any distribution for a positive random variable can be approximated with a Phase type distribution. Phase type distributions are also useful because of numerous closeure properties. For overviews, tutorials, examples, guides, and tool documentation, please see:
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