TMSA Lab @ UIUC
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- slcm Public
Perform a Bayesian estimation of the exploratory Sparse Latent Class Model for Binary Data described by Chen, Y., Culpepper, S. A., and Liang, F. (2020) <https://doi.org/10.1007/s11336-019-09693-2>
tmsalab/slcm’s past year of commit activity - simcdm Public
Simulate cognitive diagnostic model data for Deterministic Input, Noisy "And" Gate (DINA) and reduced Reparameterized Unified Model (rRUM) from Culpepper and Hudson (2017) <doi: 10.1177/0146621617707511>, Culpepper (2015) <doi:10.3102/1076998615595403>, and de la Torre (2009) <doi:10.3102/1076998607309474>.
tmsalab/simcdm’s past year of commit activity - rrum Public
The goal of rrum is to provide an implementation of Gibbs sampling algorithm for Bayesian Estimation of reduced Reparametrized Unifed Model (rRUM), described by Culpepper and Hudson (2017) <doi: 10.1177/0146621617707511>.
tmsalab/rrum’s past year of commit activity - ohoegdm Public
Ordinal Higher-Order Exploratory General Diagnostic Models for Polytomous Data described by Culpepper and Balamuta (In Press) <doi:10.1080/00273171.2021.1985949>.
tmsalab/ohoegdm’s past year of commit activity - cIRT Public
Jointly model the accuracy of cognitive responses and item choices within a bayesian hierarchical framework as described by Culpepper and Balamuta (2015) <doi:10.1007/s11336-015-9484-7>. In addition, the package contains the datasets used within the analysis of the paper.
tmsalab/cIRT’s past year of commit activity - targetsedm Public
tmsalab/targetsedm’s past year of commit activity
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