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Analysis of dichotomous and polytomous response data using unidimensional and multidimensional latent trait models under the Item Response Theory paradigm (Chalmers (2012) <doi:10.18637/jss.v048.i06>). Exploratory and confirmatory models can be estimated with quadrature (EM) or stochastic (MHRM) methods. Confirmatory bi-factor and two-tier analyses are available for modeling item testlets. Multiple group analysis and mixed effects designs also are available for detecting differential item and test functioning as well as modeling item and person covariates. Finally, latent class models such as the DINA, DINO, multidimensional latent class, and several other discrete latent variable models, including mixture and zero-inflated response models, are supported.

copied from cf-staging / r-mirt
Type Size Name Uploaded Downloads Labels
conda 1.9 MB | win-64/r-mirt-1.39-r41h78deb2a_1.conda  1 year and 8 months ago 480 main
conda 2.0 MB | osx-64/r-mirt-1.39-r42he9b8800_1.conda  1 year and 8 months ago 246 main
conda 2.0 MB | osx-64/r-mirt-1.39-r43he9b8800_1.conda  1 year and 8 months ago 271 main
conda 2.0 MB | linux-64/r-mirt-1.39-r43h08d816e_1.conda  1 year and 8 months ago 1481 main
conda 2.0 MB | linux-64/r-mirt-1.39-r42h08d816e_1.conda  1 year and 8 months ago 1452 main
conda 2.0 MB | osx-64/r-mirt-1.39-r41he9b8800_0.conda  1 year and 9 months ago 257 main
conda 2.0 MB | osx-64/r-mirt-1.39-r42he9b8800_0.conda  1 year and 9 months ago 239 main
conda 2.0 MB | linux-64/r-mirt-1.39-r42h08d816e_0.conda  1 year and 9 months ago 1495 main
conda 2.0 MB | linux-64/r-mirt-1.39-r41h08d816e_0.conda  1 year and 9 months ago 1462 main

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