CIBforecast: CIBforecast

In alastair-JL/StochasticCIB: Stochastic CIB tools

CIBforecast

Description

A function for analysis stochastic transition matrices, and outputting the main statistics about them.

Take your CIB transition matrix for a particular transition rule, and produce the corresponding graph.

Usage

CIBforecast(Transitions)

CIBforecast(Transitions)

Arguments

Transitions

A stochastic transition matrix (rows are presumed to add to 1). Can be generated by any of the function referenced in CIBTransitionCalculators

Value

A list containing a long term forcast vector (a vector of probabilities of world states), a number representing the entropy of this vector, and a number representing the entropy production.

A list containing a long term forcast vector (a vector of probabilities of world states), a number representing the entropy of this vector, and a number representing the entropy production.

Note

MakeScoreMatrix is probably the function you will need directly after this.

MakeScoreMatrix is probably the function you will need directly after this.

Author(s)

Alastair Jamieson Lane. <[e-mail]>

Alastair Jamieson Lane. <[e-mail]>

Examples

data(ExampleCIBdata)
boltzTrans<-LocalBoltzmann(ExampleCIBdata)
forecast<- CIBforecast(boltzTrans)

data(ExampleCIBdata)
boltzTrans<-LocalBoltzmann(ExampleCIBdata)
forecast<- CIBforecast(boltzTrans)
CIBpaintGraph(boltzTrans)
CIBpaintGraph(boltzTrans,forecast[[1]])

alastair-JL/StochasticCIB documentation built on July 27, 2023, 1:12 a.m.