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The engine registry makes estimation boundaries inspectable.
eyeprocess_irt_engine_registry()
#> engine capability
#> 1 mirt multidimensional/polytomous/testlet/multiple-group/mixed IRT
#> 2 TAM Rasch/2PL/3PL/GPCM/latent regression/plausible values
#> 3 GDINA cognitive diagnosis and Q-matrix workflows
#> 4 LNIRT joint response and lognormal response-time IRT
#> 5 eRm conditional Rasch/PCM/LLTM diagnostics
#> 6 equateIRT IRT linking/equating and transformation stability
#> 7 catR unidimensional adaptive-testing simulation
#> 8 mirtCAT multidimensional CAT and constrained/shadow testing
#> package available
#> 1 mirt TRUE
#> 2 TAM TRUE
#> 3 GDINA TRUE
#> 4 LNIRT TRUE
#> 5 eRm TRUE
#> 6 equateIRT TRUE
#> 7 catR TRUE
#> 8 mirtCAT TRUEThe current registry covers mirt, TAM,
GDINA, LNIRT, eRm,
equateIRT, catR, and mirtCAT.
Wrappers return an eye_external_irt_fit when the requested
package is available; otherwise they return an
eye_gated_irt_engine with fit = NULL. They
never switch to another estimator.
fit <- fit_eyeprocess_mirt(response_matrix, model = 1, itemtype = "2PL")
validate_eyeprocess_external_irt_fit(fit, engine = "mirt")This is the same governance principle used for eyeprocess’s existing frontier estimators: estimator identity is part of the scientific specification.
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.