steadyStates: Stationary states of a 'markovchain' object

In markovchain: Easy Handling Discrete Time Markov Chains

Stationary states of a markovchain object

Description

This method returns the stationary vector in matricial form of a markovchain object.

Usage

steadyStates(object)

Arguments

object

A discrete markovchain object

Value

A matrix corresponding to the stationary states

Note

The steady states are identified starting from which eigenvectors correspond to identity eigenvalues and then normalizing them to sum up to unity. When negative values are found in the matrix, the eigenvalues extraction is performed on the recurrent classes submatrix.

Author(s)

Giorgio Spedicato

References

A First Course in Probability (8th Edition), Sheldon Ross, Prentice Hall 2010

See Also

markovchain

Examples

statesNames <- c("a", "b", "c")
markovB <- new("markovchain", states = statesNames, transitionMatrix =
                matrix(c(0.2, 0.5, 0.3, 0, 1, 0, 0.1, 0.8, 0.1), nrow = 3,
                byrow = TRUE, dimnames=list(statesNames,statesNames)),
               name = "A markovchain Object" 
)       
steadyStates(markovB)

markovchain documentation built on Sept. 24, 2023, 5:06 p.m.