CalcEigenStationary: Calculate the Stationary Distribution of a First-Order Markov...
In bvegetabile/ccber: Estimation of Behavioral Entropy Rate
Description
Usage
Arguments
Value
Examples
Description
Calculate the Stationary Distribution of a First-Order Markov Chain from its
Transition Matrix
Usage
1
CalcEigenStationary(trans_mat)
Arguments
trans_mat
Transition matrix
Value
vector representing the stationary distribution of the Markov chain
Examples
1
2
3
4
tm1 <- matrix(c(0,0,1,1,0,0,0,1,0), 3,3, T)
sm1 <- CalcEigenStationary(tm1)
tm2 <- matrix(c(.3, 0.7, 0.8, 0.2), 2,2, T)
sm2 <- CalcEigenStationary(tm2)
bvegetabile/ccber documentation built on May 10, 2019, 1:15 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Value Examples
Description
Calculate the Stationary Distribution of a First-Order Markov Chain from its Transition Matrix
Usage
1 | CalcEigenStationary(trans_mat)
|
Arguments
trans_mat |
Transition matrix |
Value
vector representing the stationary distribution of the Markov chain
Examples
1 2 3 4 | tm1 <- matrix(c(0,0,1,1,0,0,0,1,0), 3,3, T)
sm1 <- CalcEigenStationary(tm1)
tm2 <- matrix(c(.3, 0.7, 0.8, 0.2), 2,2, T)
sm2 <- CalcEigenStationary(tm2)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.