R: Calculate multiplicity adjusted p-values for multiple...

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

`MCTtest`, `optContr`

### Examples

    ## need to add example

[Package DoseFinding version 1.0-2 Index]