Selected claims at a common false-discovery level

Selects every claim — participant flags, distinguishing listings, consensus statements, and pairwise stars — by the one posterior false-discovery rule at level q, and reports the expected number of false claims per family alongside. The same code path produces the selected columns of compute_flags() and compute_qdc(), so the tables and this object always agree.

Usage

claims(fit, q = 0.05, flag_floor = 0.5, cons_floor = 0.95)

Arguments

fit

A bayesqm_fit.

q

Posterior expected false-discovery bound (default 0.05).

flag_floor, cons_floor

Selection floors for flags (0.5) and consensus statements (0.95).

Value

A bayesqm_claims object: selected-only tables flags, distinguishing, consensus, and stars, each with its expected_false count, plus the level q.

Examples

claims(demo_fit())
#> Selected claims at q = 0.05 (posterior expected FDR):
#>   flags             0 participants selected (expected false 0.00)
#>   distinguishing    5 listings selected (expected false 0.25)
#>   consensus         0 statements selected (expected false 0.00)
#>   stars             2 pairwise selected (expected false 0.08)