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csemGT 1.0.0

Initial release

• csem_gt() implements the three relative-error estimators of Brennan (1998) – full, large_a, uncorrelated – together with the closed-form absolute error variance (Brennan 1998, eq. 20).
• Closed-form analytical sampling variances and item-resampling bootstrap variances for all four estimators.
• Quadratic smoothing of conditional error variances on observed score, with optional exclusion of floor and ceiling cases.
• D-study extrapolation via n_items_D.
• S3 class csem with full method set: print, summary, plot, as.data.frame, by_score, coef.
• iowa_like synthetic dataset calibrated to the ITED Vocabulary Test.
• Two vignettes: tutorial introduction and worked examples.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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