sim_Zn {CPAT} | R Documentation |

## Rènyi-Type Statistic Simulation (Assuming Variance)

### Description

Simulates multiple realizations of the Rènyi-type statistic when the long-run variance of the data is known.

### Usage

```
sim_Zn(size, kn, n = 500, gen_func = rnorm, args = NULL, sd = 1)
```

### Arguments

`size` |
Number of realizations to simulate |

`kn` |
A function returning a positive integer that is used in the definition of the Rènyi-type statistic effectively setting the bounds over which the maximum is taken |

`n` |
The sample size for each realization |

`gen_func` |
The function generating the random sample from which the statistic is computed |

`args` |
A list of arguments to be passed to |

`sd` |
The square root of the second moment of the data |

### Value

A vector of simulated realizations of the Rènyi-type statistic

### Examples

```
CPAT:::sim_Zn(100, kn = function(n) {floor(log(n))})
CPAT:::sim_Zn(100, kn = function(n) {floor(log(n))},
gen_func = CPAT:::rchangepoint, args = list(changepoint = 250,
mean2 = 1))
```

[Package

*CPAT*version 0.1.0 Index]