MAPClass {mapfit} | R Documentation |
General Markovian arrival process
Description
General Markovian arrival process
General Markovian arrival process
Details
A point process dominated by a continuous-time Markov chain.
Methods
Public methods
Method alpha()
Get alpha
Usage
MAPClass$alpha()
Returns
A vector of alpha
Method D0()
Get D0
Usage
MAPClass$D0()
Returns
A matrix of D0
Method D1()
Get D1
Usage
MAPClass$D1()
Returns
A matrix of D1
Method xi()
Get xi
Usage
MAPClass$xi()
Returns
A vector of xi
Method new()
Create a MAP
Usage
MAPClass$new(alpha, D0, D1, xi)
Arguments
alpha
A vector of initial probability
D0
An infinitesimal generator
D1
An infinitesimal generator
xi
An exit rate vector
Returns
An instance of MAP
Method copy()
copy
Usage
MAPClass$copy()
Returns
A new instance
Method size()
The number of phases
Usage
MAPClass$size()
Returns
The number of phases
Method df()
Degrees of freedom
Usage
MAPClass$df()
Returns
The degrees of freedom
Method print()
Usage
MAPClass$print(...)
Arguments
...
Others
Method mmoment()
Marginal moments
Usage
MAPClass$mmoment(k, ...)
Arguments
k
An integer of degree
...
Others
Returns
A vector of moments
Method jmoment()
Joint moments
Usage
MAPClass$jmoment(lag, ...)
Arguments
lag
An integer of lag
...
Others
Returns
A matrix of moments
Method acf()
k-lag correlation
Usage
MAPClass$acf(...)
Arguments
...
Others
Returns
A vector for k-lag correlation
Method emfit()
Run EM
Usage
MAPClass$emfit(data, options, ...)
Arguments
data
A dataframe
options
A list of options
...
Others
Method init()
Initialize with data
Usage
MAPClass$init(data, ...)
Arguments
data
A dataframe
...
Others
Method clone()
The objects of this class are cloneable with this method.
Usage
MAPClass$clone(deep = FALSE)
Arguments
deep
Whether to make a deep clone.