ERHMMClass: ErlangHMM for MAP

ERHMMClassR Documentation

ErlangHMM for MAP

Description

ErlangHMM for MAP

ErlangHMM for MAP

Details

A special case of MAP.

Methods

Public methods


Method alpha()

Get alpha

Usage
ERHMMClass$alpha()
Returns

A vector of alpha


Method shape()

Get shape

Usage
ERHMMClass$shape()
Returns

A vector of shapes


Method rate()

Get rate

Usage
ERHMMClass$rate()
Returns

A vector of rates


Method P()

Get P

Usage
ERHMMClass$P()
Returns

A matrix of P


Method xi()

Get exit rates

Usage
ERHMMClass$xi()
Returns

A vector of exit rates


Method new()

Create an ERHMM

Usage
ERHMMClass$new(alpha, shape, rate, P, xi)
Arguments
alpha

A vector of initial probability

shape

A vector of shape parameters

rate

A vector of rate parameters

P

A matrix of transition probabilities

xi

An exit rate vector

Returns

An instance of ERHMM


Method copy()

copy

Usage
ERHMMClass$copy()
Returns

A new instance


Method size()

The number of components

Usage
ERHMMClass$size()
Returns

The number of components


Method df()

Degrees of freedom

Usage
ERHMMClass$df()
Returns

The degrees of freedom


Method print()

Print

Usage
ERHMMClass$print(...)
Arguments
...

Others


Method mmoment()

Marginal moments

Usage
ERHMMClass$mmoment(k, ...)
Arguments
k

An integer of degree

...

Others

Returns

A vector of moments


Method jmoment()

Joint moments

Usage
ERHMMClass$jmoment(lag, ...)
Arguments
lag

An integer of lag

...

Others

Returns

A matrix of moments


Method acf()

k-lag correlation

Usage
ERHMMClass$acf(...)
Arguments
...

Others

Returns

A vector for k-lag correlation


Method emfit()

Run EM

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

A dataframe

options

A list of options

...

Others


Method init()

Initialize with data

Usage
ERHMMClass$init(data, ...)
Arguments
data

A dataframe

...

Others


Method clone()

The objects of this class are cloneable with this method.

Usage
ERHMMClass$clone(deep = FALSE)
Arguments
deep

Whether to make a deep clone.


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