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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 5 months ago 369 main
conda 2.0 MB | osx-64/r-mirt-1.39-r42he9b8800_1.conda  1 year and 5 months ago 153 main
conda 2.0 MB | osx-64/r-mirt-1.39-r43he9b8800_1.conda  1 year and 5 months ago 158 main
conda 2.0 MB | linux-64/r-mirt-1.39-r43h08d816e_1.conda  1 year and 5 months ago 1176 main
conda 2.0 MB | linux-64/r-mirt-1.39-r42h08d816e_1.conda  1 year and 5 months ago 1154 main
conda 2.0 MB | osx-64/r-mirt-1.39-r41he9b8800_0.conda  1 year and 6 months ago 151 main
conda 2.0 MB | osx-64/r-mirt-1.39-r42he9b8800_0.conda  1 year and 6 months ago 143 main
conda 2.0 MB | linux-64/r-mirt-1.39-r42h08d816e_0.conda  1 year and 6 months ago 1190 main
conda 2.0 MB | linux-64/r-mirt-1.39-r41h08d816e_0.conda  1 year and 6 months ago 1173 main

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