MCTpval {DoseFinding} | R Documentation |

## Calculate multiplicity adjusted p-values for multiple contrast test

### Description

Calculate multiplicity adjusted p-values for a maximum contrast test
corresponding to a set of contrasts and given a set of observed test
statistics. This function is exported as it may be a useful building
block and used in more complex testing situations that are not covered
by `MCTtest`

. Most users probably don't need to use
this function.

### Usage

```
MCTpval(contMat, corMat, df, tStat,
alternative = c("one.sided", "two.sided"),
control = mvtnorm.control())
```

### Arguments

`contMat` |
Contrast matrix to use. The individual contrasts should be saved in the columns of the matrix |

`corMat` |
correlation matrix of the contrasts |

`df` |
Degrees of freedom to assume in case ‘S’ (a general covariance matrix) is specified. When ‘n’ and ‘sigma’ are specified the ones from the corresponding ANOVA model are calculated. |

`tStat` |
Vector of contrast test statistics |

`alternative` |
Character determining the alternative for the multiple contrast trend test. |

`control` |
A list specifying additional control parameters for the ‘qmvt’ and ‘pmvt’ calls in the code, see also ‘mvtnorm.control’ for details. |

### Value

Numeric containing the calculated p-values.

### Author(s)

Bjoern Bornkamp

### References

Pinheiro, J. C., Bornkamp, B., and Bretz, F. (2006). Design and analysis of dose finding studies
combining multiple comparisons and modeling procedures, *Journal of Biopharmaceutical
Statistics*, **16**, 639–656

### See Also

### Examples

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## need to add example
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*DoseFinding*version 1.1-1 Index]