GMMPPClass: GMMPP: Approximation for MAP

GMMPPClassR Documentation

GMMPP: Approximation for MAP

Description

GMMPP: Approximation for MAP

GMMPP: Approximation for MAP

Details

A point process dominated by a continuous-time Markov chain.

Super class

mapfit::MAPClass -> GMMPPClass

Methods

Public methods

Inherited methods

Method new()

Create a MAP

Usage
GMMPPClass$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
GMMPPClass$copy()
Returns

A new instance


Method emfit()

Run EM

Usage
GMMPPClass$emfit(data, options, ...)
Arguments
data

A dataframe

options

A list of options

...

Others


Method clone()

The objects of this class are cloneable with this method.

Usage
GMMPPClass$clone(deep = FALSE)
Arguments
deep

Whether to make a deep clone.


mapfit documentation built on Nov. 22, 2022, 5:05 p.m.