factrix.multi_factor

Collection-level false-discovery-rate (FDR) control across a list of FactorProfile objects. Use after evaluate has produced one profile per candidate factor (or per factor × context combination): the functions in this module adjust per-factor p-values for multiple testing under the dependence structure that factor pools exhibit by construction.

This page is a module-level index. Each function has its own page covering call shape, parameters, the Survivors return container, and design rationale.

Choosing a function

Question you are asking	Function	Page
"Which factors in this candidate pool survive FDR ≤ q under arbitrary dependence?"	bhy	api/bhy
"Which factors are significant in at least k of m replication conditions?"	partial_conjunction	api/partial-conjunction
"Which factor families carry signal, and which factors within each surviving family survive?"	bhy_hierarchical	api/bhy-hierarchical

bhy is the canonical entry point — start there unless you have an explicit reason to claim partial-conjunction or hierarchical group structure.

See also

• Batch screening guide

  ---

  End-to-end recipe wiring evaluate into the multi-factor FDR pipeline, including how to preserve identity / context across a candidate pool and how to choose between the three functions.

  guides/batch-screening →

• Statistical methods — multiple testing

  ---

  Why Benjamini-Hochberg-Yekutieli (BHY) rather than Bayesian or reality-check / SPA bootstraps; positive regression dependence on a subset (PRDS) and the harmonic dependence correction.

  reference/statistical-methods →