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.

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]