fadjpbon {lrstat} | R Documentation |
Adjusted p-values for Bonferroni-based graphical approaches
Description
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.
Author(s)
Kaifeng Lu, kaifenglu@gmail.com
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.
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)
[Package lrstat version 0.2.9 Index]