adjust_p_bonferroni     Calculate adjusted p-values
adjust_weights_parametric
                        Calculate adjusted hypothesis weights
as_initial_graph        Convert between graphicalMCP, gMCP, and igraph
                        graph classes
bonferroni              Example graphs of commonly used multiple
                        comparison procedures
graph_calculate_power   Calculate power values for a graphical multiple
                        comparison procedure
graph_create            Create the initial graph for a multiple
                        comparison procedure
graph_generate_weights
                        Generate the weighting strategy based on a
                        graphical multiple comparison procedure
graph_rejection_orderings
                        Find alternate rejection orderings (sequences)
                        for shortcut tests
graph_test_closure      Perform closed graphical multiple comparison
                        procedures
graph_test_shortcut     Perform shortcut (sequentially rejective)
                        graphical multiple comparison procedures
graph_test_shortcut_gsd
                        Perform shortcut graphical multiple comparison
                        procedures with group sequential designs
graph_update            Obtain an updated graph by updating an initial
                        graphical after deleting hypotheses
gs_boundaries           Compute group sequential boundaries from an
                        alpha spending function
gs_corr                 Compute the correlation matrix for group
                        sequential test statistics
plot.initial_graph      S3 plot method for class 'initial_graph'
plot.updated_graph      S3 plot method for the class 'updated_graph'
print.graph_report      S3 print method for the class 'graph_report'
print.gsd_graph_report
                        S3 print method for the class
                        'gsd_graph_report'
print.initial_graph     S3 print method for the class 'initial_graph'
print.power_report      S3 print method for the class 'power_report'
print.updated_graph     S3 print method for the class 'updated_graph'
repeated_p              Calculate the repeated p-value for a single
                        hypothesis at a given analysis
sequential_p            Calculate the sequential p-value for a single
                        hypothesis
spending_of             Alpha spending functions for group sequential
                        designs
spending_with_time      Create a spending function with a custom
                        spending time
spending_wt             Wang-Tsiatis spending function
