## Generate data with permutation-based approach accounting for auto-dependence

### Description

This function generates a new time serie with exactly the same relative frequency as the original one, and a similar auto-dependence by cutting the original variable in segments and shuffeling these segements.

### Usage

permutAD(vec, nBloks = 10)


### Arguments

 vec Time series vector nBloks positive integer indicating the number of segements/blocks (default 10)

### Value

Time series vector with exactly the same relative frequency and a similar auto-dependence as the original vector

### Examples

ts=rep(c(1,1,1,1,1,0,0,0),15)