Computes the weighted likelihood estimate (WLE) of person location for every
possible raw score on a set of items, with standard errors. WLE estimates
are finite at the extreme (zero and maximum) scores, unlike the maximum
likelihood estimate.
Usage
person_wle(tau_list, disc = 1)
Arguments
- tau_list
List of per-item threshold vectors.
- disc
Common discrimination (frame unit) of the items; with a
constant discrimination the raw score remains sufficient.
Value
A list with theta and se, each named by raw score.
Examples
person_wle(list(c(-1, 0), c(-0.5, 0.5), c(0, 1)))
#> $theta
#> 0 1 2 3 4
#> -2.444406e+00 -1.237127e+00 -5.611339e-01 3.552714e-15 5.611339e-01
#> 5 6
#> 1.237127e+00 2.444406e+00
#>
#> $se
#> 0 1 2 3 4 5 6
#> 1.5455221 0.9731988 0.8347598 0.8003924 0.8347598 0.9731988 1.5455221
#>
