Graphical Multiple Comparison Procedures
Calculate adjusted p-values
Calculate adjusted hypothesis weights for parametric tests
Calculate adjusted hypothesis weights
Convert between graphicalMCP, gMCP, and igraph graph classes
Find pairs of vertices that are connected in both directions
Example graphs of commonly used multiple comparison procedures
Calculate power values for a graphical multiple comparison procedure
Create the initial graph for a multiple comparison procedure
Generate the weighting strategy based on a graphical multiple comparis...
Find alternate rejection orderings (sequences) for shortcut tests
Perform closed graphical multiple comparison procedures
Perform graphical multiple comparison procedures efficiently for power...
Perform shortcut (sequentially rejective) graphical multiple compariso...
Obtain an updated graph by updating an initial graphical after deletin...
graphicalMCP: Graphical Multiple Comparison Procedures
Validate inputs for testing and power simulations
S3 plot method for class initial_graph
S3 plot method for the class updated_graph
S3 print method for the class graph_report
S3 print method for the class initial_graph
S3 print method for the class power_report
S3 print method for the class updated_graph
Organize outputs for testing an intersection hypothesis
Multiple comparison procedures (MCPs) control the familywise error rate in clinical trials. Graphical MCPs include many commonly used procedures as special cases; see Bretz et al. (2011) <doi:10.1002/bimj.201000239>, Lu (2016) <doi:10.1002/sim.6985>, and Xi et al. (2017) <doi:10.1002/bimj.201600233>. This package is a low-dependency implementation of graphical MCPs which allow mixed types of tests. It also includes power simulations and visualization of graphical MCPs.
Useful links