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()

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.


[Package mapfit version 1.0.0 Index]