MCTpval {DoseFinding} | R Documentation |
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.
MCTpval(contMat, corMat, df, tStat,
alternative = c("one.sided", "two.sided"),
control = mvtnorm.control())
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. |
Numeric containing the calculated p-values.
Bjoern Bornkamp
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
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