The reported array for each factor: statements sorted onto the design grid by their posterior column probabilities (mean grid column, tie-broken by posterior-mean score), which is quota-exact by construction. When the clue package is installed, a footrule assignment cross-check is computed and its disagreement rate attached.
Value
A data frame with one row per statement: statement, then
f{k}_grid per factor (and f{k}_grid_neg when negative = TRUE).
attr(, "footrule_disagreement") gives the share of cells where the
footrule assignment differs (NA without clue).
Examples
compute_factor_array(demo_fit())
#> statement f1_grid f2_grid
#> 1 S1 4 1
#> 2 S2 5 6
#> 3 S3 3 3
#> 4 S4 8 3
#> 5 S5 6 6
#> 6 S6 3 8
#> 7 S7 4 5
#> 8 S8 6 4
#> 9 S9 5 7
#> 10 S10 1 5
#> 11 S11 7 2
#> 12 S12 5 5
#> 13 S13 2 4
