Calculate the prior probability of states that correspond to the stationary
distribution of the transition matrix T
Arguments
- mat_T
(matrix) transition matrix
Details
It is assumed that the prior probability of states corresponds
to the stationary distribution of the transition matrix \(T\),
denoted with \(\pi\) and its entries with \(\pi_i=Pr(\theta_{l-1}=i)\).
Examples
T_mat <- rbind(c(1-0.01,0.01,0),
c(0.01,1-0.02,0.01),
c(0,0.01,1-0.01))
T_mat
#> [,1] [,2] [,3]
#> [1,] 0.99 0.01 0.00
#> [2,] 0.01 0.98 0.01
#> [3,] 0.00 0.01 0.99
get_pi(T_mat)
#> [1] 0.3333333 0.3333333 0.3333333