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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.