fstdmix | R Documentation |
Obtains the adjusted p-values for the standard gatekeeping procedures for multiplicity problems involving serial and parallel logical restrictions.
fstdmix(
p,
family = NULL,
serial,
parallel,
gamma,
test = "hommel",
exhaust = TRUE
)
p |
The raw p-values for elementary hypotheses. |
family |
The matrix of family indicators for the hypotheses. |
serial |
The matrix of serial rejection set for the hypotheses. |
parallel |
The matrix of parallel rejection set for the hypotheses. |
gamma |
The truncation parameters for each family. The truncation parameter for the last family is automatically set to 1. |
test |
The component multiple testing procedure. Options include "holm", "hochberg", or "hommel". Defaults to "hommel". |
exhaust |
Whether to use alpha-exhausting component testing procedure
for the last family with active hypotheses. It defaults to |
A matrix of adjusted p-values.
Kaifeng Lu, kaifenglu@gmail.com
Alex Dmitrienko and Ajit C Tamhane. Mixtures of multiple testing procedures for gatekeeping applications in clinical trials. Statistics in Medicine. 2011; 30(13):1473–1488.
p = c(0.0194, 0.0068, 0.0271, 0.0088, 0.0370, 0.0018, 0.0814, 0.0066)
family = matrix(c(1, 1, 0, 0, 0, 0, 0, 0,
0, 0, 1, 1, 0, 0, 0, 0,
0, 0, 0, 0, 1, 1, 0, 0,
0, 0, 0, 0, 0, 0, 1, 1),
nrow=4, byrow=TRUE)
serial = matrix(c(0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0,
1, 0, 0, 0, 0, 0, 0, 0,
0, 1, 0, 0, 0, 0, 0, 0,
0, 0, 1, 0, 0, 0, 0, 0,
0, 0, 0, 1, 0, 0, 0, 0,
0, 0, 0, 0, 1, 0, 0, 0,
0, 0, 0, 0, 0, 1, 0, 0),
nrow=8, byrow=TRUE)
parallel = matrix(0, 8, 8)
gamma = c(0.6, 0.6, 0.6, 1)
fstdmix(p, family, serial, parallel, gamma, test = "hommel",
exhaust = FALSE)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.