# Simultaneous confidence intervals for Simpson indices

### Description

NOTE: This is a Test-version and is not sufficiently checked for correctness so far. Simultaneous confidence intervals for differences and ratios of Simpsons indices of diversity are calculated from data sets with repeated samples of communities and designs with more than two treatments groups. The intervals are calculated based on a stratified, non-parametric ordinary bootstrap sample of Simpsonindices, and applying the Algorithm of Besag et al.(1995) on the joint empirical distribution of differences (BOOTSimpsonD) or ratios (BOOTSimpsonR) of the original distribution.

### Usage

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### Arguments

`X` |
a data.frame of dimension n times p, containing integer entries as species counts of p species from n independent samplings |

`f` |
a factor, usually with more than two levels. Must be of length n, when X is an n times p matrix |

`type` |
a single character string, defining a contrast type. Supported options are 'Dunnett','Tukey','Sequen'; for more options, see |

`cmat` |
user defined contrasts:
when using |

`conf.level` |
a single numeric value between 0.5 and 1 |

`alternative` |
a single character string, one of 'two.sided','less' and 'greater' |

`madj` |
a single logical value, indicating whether simultaneous (if |

`...` |
Further arguments to be passed to the function |

### Details

NOTE: This is a test version!

### Value

If `madj=TRUE`

, an object of class "SCSnp", see `SCSnp`

for details.
If `madj=FALSE`

, an object of class "CInp", see `CInp`

for details.

### Author(s)

Frank Schaarschmidt

### See Also

`SCSnp`

,
these function internally make use of `CCDiff.boot`

, `CCDiff.default`

,
`CCRatio.boot`

, `CCRatio.default`

,
`boot`

and `estSimpsonf`

.

### Examples

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