Provides a structured summary of a `sspLNIRT` object. The method auto-detects whether the object was produced by [optim_sample()] (contains `N.min`) or by [comp_rmse()] (contains `person` and `item`), and returns the relevant fields.
Usage
# S3 method for class 'sspLNIRT'
summary(object, ...)Value
An object of class `"summary.sspLNIRT"`.
For [optim_sample()] output, the summary contains:
- `N.min`
Integer or character. Minimum sample size (or boundary message).
- `out.par`
Character vector. Target parameter(s) tracked by the optimization, recovered from `track.res` columns.
- `res.best`
Named numeric vector. RMSE at the optimal \(N\).
- `comp.rmse`
List. Full [comp_rmse()] output at the optimal \(N\).
- `trace`
List. Optimization diagnostics (steps, tracked results and \(N\) values, wall-clock time).
For [comp_rmse()] output, the summary contains:
- `person`
List with `rmse`, `mc.sd.rmse`, and `bias` for \(\theta\) and \(\zeta\).
- `item`
List with `rmse`, `mc.sd.rmse`, and `bias` for item parameters.
- `rhat.dat`
Matrix of \(\hat{R}\) values or `NULL`.