gMCP (version 0.3-3)

gMCP: A graphical approach to sequentially rejective multiple test procedures

Description

Performs a sequentially rejective multiple test procedure on a graph given unadjusted p-values.

Usage

gMCP(graph, pvalues, verbose=FALSE)

Arguments

graph

A graph of class graphMCP.

pvalues

A numeric vector specifying the p-values for the sequentially rejective MTP.

verbose

Logical scalar. If TRUE verbose output is generated during sequentially rejection steps.

Value

• An object of class gMCPResult, more specifically a list with elements
• graphs
  list of graphs
• pvalues
  p-values
• adjPValues
  adjusted p-values

Details

For details see the given references.

References

Frank Bretz, Willi Maurer, Werner Brannath, Martin Posch: A graphical approach to sequentially rejective multiple test procedures. Statistics in Medicine 2009 vol. 28 issue 4 page 586-604. http://www.meduniwien.ac.at/fwf_adaptive/papers/bretz_2009_22.pdf

Strassburger K., Bretz F.: Compatible simultaneous lower confidence bounds for the Holm procedure and other Bonferroni based closed tests. Statistics in Medicine 2008; 27:4914-4927.

Hommel G., Bretz F., Maurer W.: Powerful short-cuts for multiple testing procedures with special reference to gatekeeping strategies. Statistics in Medicine 2007; 26:4063-4073.

Guilbaud O.: Simultaneous confidence regions corresponding to Holm's stepdown procedure and other closed-testing procedures. Biometrical Journal 2008; 50:678-692.

See Also

graphMCP

Examples

g <- createBonferroniHolmGraph(5)

gMCP(g, pvalues=c(0.01, 0.02, 0.04, 0.04, 0.7))