Optimise Graphical Approaches to Multiple Testing Procedures
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Documentation for package ‘multigrain’ version 1.0.0
Help Pages
| autoplot.multigrain_graph_constraint | Autoplot method for 'multigrain_graph_constraint' objects |
| autoplot.multigrain_graph_optimal | Autoplot method for 'multigrain_graph_optimal' objects |
| calc_ncp | Calculate non-centrality parameter |
| calc_power_pvals | Calculate power for a graph-based multiple test procedure using p-values |
| control_global | Modify global optimisation options |
| control_local | Modify local optimisation options |
| control_nsim_global | Modify the number of simulations |
| control_nsim_local | Modify the number of simulations |
| graph_constraint | Create a _graph constraint_ for optimisation procedures |
| graph_constraint_free | Create an unconstrained _graph constraint_ |
| graph_optimal_example | Optimised graph example |
| graph_optimal_get_control | Get the optimisation control |
| graph_optimise | Optimise graph-based multiple testing procedures |
| graph_optimize | Optimise graph-based multiple testing procedures |
| graph_random | Generate random graph |
| is_graph_valid | Check the validity of a graph-based MTP |
| multigrain_control | Set parameters for graph optimisation |
| multigrain_verbosity | Multigrain verbosity |
| normalise_sum | Normalise graph weights to sum to a target value |
| plot.multigrain_graph_constraint | Autoplot method for 'multigrain_graph_constraint' objects |
| plot.multigrain_graph_optimal | Autoplot method for 'multigrain_graph_optimal' objects |
| simulate_pvalues | Simulate raw p-values |
| trial_success | Create a _trial success_ function |