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Milestone #2 adds design and diagnostic support for multidimensional IRT without duplicating mature estimation engines.
L <- matrix(c(1,0, 1,0, 0,1, 0,1, 1,0, 0,1), ncol = 2, byrow = TRUE)
loading_spec <- eyeprocess_mirt_loading_spec(paste0("I",1:6), L, c("accuracy","process"), simple_structure = TRUE)
eyeprocess_mirt_loading_audit(loading_spec, min_items_per_dimension = 2)
#> dimension n_loading_items meets_minimum
#> accuracy accuracy 3 TRUE
#> process process 3 TRUE
eyeprocess_mirt_information_matrix(c(0,0), c(1,.5))
#> [,1] [,2]
#> [1,] 0.250 0.1250
#> [2,] 0.125 0.0625Testlet declarations, directional information, latent-regression
design matrices, and identification audits are native. Exact
multidimensional, bifactor/two-tier, multiple-group, mixed, and
polytomous estimation is delegated to mirt or
TAM where requested.
Primary package sources: https://cran.r-project.org/package=mirt and https://cran.r-project.org/package=TAM.
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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