excessProb.condit.dm {BMAmevt} | R Documentation |

## Probability of joint threshold exceedance, in the Dirichlet Mixture model, given a DM parameter.

### Description

simple MC integration on the simplex.

### Usage

```
excessProb.condit.dm(
N = 100,
par = get("dm.expar.D3k3"),
thres = rep(100, 3),
plot = FALSE,
add = FALSE
)
```

### Arguments

`N` |
The number of MC iterations to be performed |

`par` |
the DM parameter, as a list |

`thres` |
the multivariate threshold |

`plot` |
logical: should convergence diagnostic plots be issued ? |

`add` |
logical: should the plot be added to a current one ? |

### Value

a list made of

- mean
the mean estimate from the MC sample

- esterr
the estimated standard deviation of the estimator

- estsd
The estimated standard deviation of the MC sample

[Package

*BMAmevt*version 1.0.5 Index]