Three checks, each comparing the observed sorts with replicates drawn
from the fitted model:
the agreement check (T1a) compares the observed person-agreement matrix
with replicated ones against a double-replicate reference; the
extra-factor check (T1b) locates the observed (K+1)-th eigenvalue in
its replicated distribution; and the paired-comparison check (T2)
compares standardized statement-pair margins, ties counted one half.
These are diagnostics to read, not tests to pass.
Value
A bayesqm_checks list: agreement (p), extra_factor
(percentile), and paired (p, per-statement p_j), with a print
method.
Examples
check_fit(demo_fit(), draws = 20)
#> Posterior-predictive checks (20 replicated draws):
#> agreement check (T1a): p = 0.60
#> extra-factor check (T1b): observed e_(K+1) at percentile 0.35
#> paired-comparison check (T2): p = 0.30 (worst statement 0.15)
#> diagnostics to read, not tests to pass
