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Packages that use HyperErlangVar | |
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jphase | This package provides capabilities for modeling Phase type distributions. |
jphase.fit | Provides capabilities for fitting Phase type distribution parameters from data. |
Uses of HyperErlangVar in jphase |
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Methods in jphase with parameters of type HyperErlangVar | |
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static DenseContPhaseVar |
DenseContPhaseVar.HyperErlang(HyperErlangVar var)
Construcs a Phase-Type representation of a Hyper-Erlang distribution from a Dense representation of the same distribution |
Uses of HyperErlangVar in jphase.fit |
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Methods in jphase.fit that return HyperErlangVar | |
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HyperErlangVar |
EMHyperErlangFit.doFitHyperErlang(double[] data)
Returns a HyperErlang variable with the best fit |
Methods in jphase.fit with parameters of type HyperErlangVar | |
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double |
EMHyperErlangFit.doFitNM(double[] data,
HyperErlangVar var)
This method returns a completely specified HyperErlang variable, such that it has the best likelihood between all the possible combinations of N phases in M branches |
double |
EMHyperErlangFit.doFitNMR(double[] data,
HyperErlangVar var)
This method returns a completely specified HyperErlang variable, such that it has the best likelihood after the execution of the EM algorithm for the case where the variable has N phases in M branches, distributed as determined by the vector r |
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