Functions for stochastic matrix modifications.

```
teleport(teleport_prob = 0.15)
vote_equal(stoch)
vote_self(stoch)
```

teleport_prob | Probability of 'teleportation'. |
---|---|

stoch | Input stochastic matrix. |

`teleport()`

returns a modifier function.

`vote_equal()`

and `vote_self()`

are modifier functions and return modified
version of input stochastic matrix.

Modification logic behind `teleport()`

assumes that at each step
of Markov chain (described by column-stochastic matrix) the decision is made
whether to change state according to stochastic matrix or to 'teleport' to
any state with equal probability. Probability of 'teleport' is
`teleport_prob`

. This modification is useful because it ensures
irreducibility of stochastic matrix (with `teleport_prob`

in (0; 1)).
**Note** that in order to obtain modifier one should call function
`teleport()`

with some parameter.

`vote_equal()`

and `vote_self()`

modify columns with elements only equal to
0. The former fills them with `1/nrow(stoch)`

and the latter changes only the
respective diagonal element to 1. This is equivalent to jump to any state
with equal probability and to stay in the current state respectively.

```
#> [,1] [,2]
#> [1,] 0.5 0.33
#> [2,] 0.5 0.67
vote_equal(input_stoch)#> [,1] [,2]
#> [1,] 0.5 0.3
#> [2,] 0.5 0.7
vote_self(input_stoch)#> [,1] [,2]
#> [1,] 1 0.3
#> [2,] 0 0.7
```