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Adjusted p-Values for Bonferroni-Based Graphical Approaches

Source: R/multiplicity.R
fadjpbon.Rd

Obtains the adjusted p-values for graphical approaches using weighted Bonferroni tests.

Usage

fadjpbon(w, G, p)

Arguments

w

The vector of initial weights for elementary hypotheses.

G

The initial transition matrix.

p

The raw p-values for elementary hypotheses.

Value

A matrix of adjusted p-values.

References

Frank Bretz, Willi Maurer, Werner Brannath and Martin Posch. A graphical approach to sequentially rejective multiple test procedures. Statistics in Medicine. 2009; 28:586-604.

Author

Kaifeng Lu, kaifenglu@gmail.com

Examples


pvalues <- matrix(c(0.01,0.005,0.015,0.022, 0.02,0.015,0.010,0.023),
                  nrow=2, ncol=4, byrow=TRUE)
w <- c(0.5,0.5,0,0)
g <- matrix(c(0,0,1,0,0,0,0,1,0,1,0,0,1,0,0,0),
            nrow=4, ncol=4, byrow=TRUE)
fadjpbon(w, g, pvalues)
#>      [,1] [,2] [,3] [,4]
#> [1,] 0.02 0.01 0.03 0.03
#> [2,] 0.04 0.03 0.04 0.04