Returns a data frame summarizing all parameter combinations for which precomputed [optim_sample()] results are available in [sspLNIRT.data]. Use this to check which values of `thresh`, `out.par`, `K`, `mu.alpha`, `meanlog.sigma2`, and `rho` can be passed to [get_sspLNIRT()].
Value
A data frame with one row per precomputed configuration and the following columns:
- `thresh`
RMSE threshold.
- `out.par`
Target item parameter.
- `K`
Test length.
- `mu.alpha`
Mean of \(\alpha\) (item discrimination).
- `meanlog.sigma2`
Mean of \(\log(\sigma^2)\).
- `rho`
Correlation between \(\theta\) and \(\zeta\).
See also
[get_sspLNIRT()] which looks up results by these parameters; [sspLNIRT.data] for the underlying dataset.
Examples
configs <- available_configs()
head(configs)
#> thresh out.par K mu.alpha meanlog.sigma2 rho
#> 1 0.20 phi 50 1.4 log(1) 0.4
#> 2 0.10 alpha 50 1.0 log(1) 0.6
#> 3 0.10 beta 30 0.8 log(0.2) 0.6
#> 4 0.15 alpha 50 1.4 log(0.2) 0.2
#> 5 0.15 beta 50 0.6 log(1) 0.2
#> 6 0.05 beta 50 1.0 log(0.2) 0.2
# unique test lengths
unique(configs$K)
#> [1] 50 30