Package index • manytestsr

All functions

adaptive_evalue(): Adaptive betting strategy for e-values
adjust_pvalues_level(): Adjust p-values at a given level using sequential rejection
alpha_adaptive(): Adaptive Alpha Adjustment Based on Power Decay with find_blocks. The returned function adjusts significance levels at each tree depth based on estimated power decay (Algorithm 1 from Appendix B of the supplement).
alpha_adaptive_tree(): Adaptive Alpha from an Actual Tree Structure
alpha_adaptive_tree_pruned(): Adaptive Alpha with Branch Pruning
alpha_addis(): Alpha adjustment function: ADDIS
alpha_investing(): Alpha adjustment function: Alpha Investing
alpha_saffron(): Alpha adjustment function: SAFFRON
analyze_violation_patterns(): Analyze violation patterns
apply_closed_testing_principle(): Apply closed testing principle to determine valid rejections
apply_consonance_correction(): Apply consonance correction to test results
apply_sequential_rejection_meinshausen(): Apply Sequential Rejection Principle (Goeman-Solari enhancement)
apply_traditional_meinshausen(): Apply Traditional Meinshausen Procedure
build_hierarchy_structure(): Build hierarchy structure from node data and tracker
check_consonance_property(): Consonance Property Checking for Hierarchical Testing
check_iu_consistency(): Check consistency of intersection-union test results
check_stopping_rule(): Check stopping rule
closed_testing_procedure(): Proper Closed Testing Procedure for Hierarchical Hypotheses
combine_pvalues(): Combine p-values using specified method
combine_pvalues_traditional(): Traditional p-value combination (used in original Meinshausen)
combined_distances_tstat(): The combined distances test statistic
compute_adaptive_alphas(): Compute Adaptive Alpha Levels by Tree Depth
compute_adaptive_alphas_tree(): Compute Adaptive Alpha Levels from an Actual Tree
compute_error_load(): Compute Error Load for Natural Gating Assessment
compute_evalue(): Compute e-value for a single test
compute_exact_wilcoxon_bound(): Exact Wilcoxon bound computation (simplified)
compute_sensitivity_bounds(): Compute sensitivity bounds for a single block
compute_sensitivity_summary(): Compute summary statistics for sensitivity analysis
compute_t_statistic(): Compute t-statistic for two-sample test
design_sensitivity_analysis(): Design Sensitivity Analysis for Hierarchical Testing
dists_and_trans(): Outcome distances and transformations
edisti(): Outcome e-distances between treatment arms
evalue_confidence_sequence(): E-value based confidence sequences
evalue_sequential_test(): E-value Based Sequential Testing
evalue_to_pvalue(): Convert e-value to p-value
example_dat: Example Data for Block-Randomized Experiment
extract_hierarchy_relationships(): Extract hierarchy relationships
fast_dists_and_trans_hybrid(): Fast per-unit distance summaries (scalar outcome)
fast_dists_and_trans_new_parallel(): Outcome distances and transformations: C++ OpenMP Parallel version
find_all_descendants(): Find all descendants of a node
find_blocks(): Test, Split, Repeat
find_consonance_violations(): Find consonance violations
find_containing_intersections(): Find all intersection results containing a specific node
find_leaf_descendants(): Find leaf descendants of a node
find_leaf_nodes(): Find leaf nodes in the hierarchy
fixed_evalue(): Fixed betting strategy for e-values
generate_all_intersections(): Generate all possible intersection hypotheses
generate_corrective_actions(): Generate corrective actions for consonance violations
generate_meinshausen_hierarchy(): Generate Meinshausen hierarchical clustering for variables
get_children_nodes(): Get children nodes from tracker
get_descendant_nodes(): Get all descendant nodes for a given node
hodges_lehmann_sensitivity_bounds(): Hodges-Lehmann estimator sensitivity bounds
idt bdt1: Example tree-testing data
integrate_meinshausen_find_blocks(): Integration function for find_blocks with Meinshausen testing
intersection_union_tests(): Intersection-Union Tests for Hierarchical Hypotheses
kelly_evalue(): Kelly optimal betting for e-values
local_bh_all_ps(): BH local adjustment
local_hommel_all_ps(): Compute local Hommel p-value for a Vector of Child p-values
local_min_p(): Unadjusted local minimal p-value
local_simes(): Compute local Simes p-value for a Vector of Child p-values
local_unadj_all_ps(): Unadjusted local step (pass-through)
make_results_ggraph(): Make a plot of the nodes
make_results_tree(): Make a node-level dataset from a block-level dataset
meinshausen_hierarchical_test(): Meinshausen's Hierarchical Testing with Sequential Rejection Principle
nodeidfn(): Use hashing to make a node id (DEPRECATED)
pCombCauchyDist(): P-value function: Cauchy Combined Indepence Test
pCombStephenson(): P-value function: Combined Stephenson Rank Test
pIndepDist(): P-value function: Independence Treatment Distance Test
pOneway(): P-value function: T-test
pPolyRank(): P-value function: Polynomial Rank Score Test
pTestTwice(): P-value function: Testing twice
pWilcox(): P-value function: Wilcox Test
parse_formula(): Parse formula to extract components
parse_formula_components(): Parse formula components
plot_design_sensitivity(): Plot sensitivity analysis results
plot_intersection_union_results(): Visualize intersection-union test results
report_detections(): Return detected blocks plus info
sign_test_sensitivity_bounds(): Sign test sensitivity bounds
splitCluster(): Splitting function: K-Means Clustering
splitEqualApprox(): Splitting function: Approx Equal Splits
splitLOO(): Splitting function: Leave One Out
splitSpecified(): A set of pre-specified splits using a data.table object (Deprecate)
splitSpecifiedFactor(): A set of pre-specified splits
splitSpecifiedFactorMulti(): A set of pre-specified splits
test_children_recursive_meinshausen(): Recursive testing of children in Meinshausen procedure
test_intersection_null(): Test intersection null hypothesis
test_intersections(): Test intersection hypotheses
test_union_alternative(): Test union alternative hypothesis
update_wealth(): Update wealth using e-value
validate_fwer_control(): Validate closed testing procedure maintains FWER control
validate_logical_hierarchy(): Validate logical hierarchy structure
wilcoxon_sensitivity_bounds(): Wilcoxon test sensitivity bounds