Nothing

```
#' mkStochastic ensures that it is a stochastic vector, matrix or array.
#'
#' @details mkStochastic ensures that the giving argument is a stochastic
#' vector, matrix or array, i.e., that the sum over the last dimension is 1.
#'
#' @param M A vector, matrix or array to transform.
#' @return A vector, matrix or array for which the sum over the last dimension
#' is 1.
mkStochastic <- function(M) {
if (is.vector(M) == TRUE) { # Vector
M <- normalize(M)$M
} else if (is.matrix(M) == TRUE) { # Matrix
S <- apply(M, 1, sum)
S <- S + (S == 0)
norm <- matrix(rep(S, ncol(M)), nrow = length(S))
M <- M / norm
} else {# Multi-dimensional array
ns <- dim(M)
M <- matrix(M, prod(ns[1]:ns[length(ns) - 1]), ns[length(ns)])
S <- apply(M, 1, sum)
S <- S + (S == 0)
norm <- matrix(rep(S, ncol(M)), nrow = length(S), ncol = ns[length(ns)])
M <- M / norm
M <- array(M, ns)
}
return(M)
}
```

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