simRHT2 | R Documentation |

Monte Carlo Simulation to obtain d and q constants for RHT2 function

```
simRHT2(n, p, nrep = 500)
```

`n` |
the sample size |

`p` |
the number of variables |

`nrep` |
the number of iteration. The default value is 500. |

`simRHT2`

function computes d and q constants to construct an approximate
F distribution of robust Hotelling T^2 statistic in high dimensional data.
These constants are used in `RHT2`

function.
For more detailed information, you can see the study by Bulut (2021).

a list with 2 elements:

`q` |
The q value |

`d` |
The d value |

Hasan BULUT <hasan.bulut@omu.edu.tr>

Bulut, H (2021). A robust Hotelling test statistic for one sample case in highdimensional data, Communication in Statistics: Theory and Methods.

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