GitHub topics: cognitive-diagnostic-models
wjakethompson/measr
R package for the Bayesian estimation of diagnostic classification models using Stan
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tmsalab/edm
Modeling framework for Exploratory Diagnostic Models (EDM)
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tmsalab/edmdata
Supplementary data package for the edm package
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inuyasha2012/pypsy
psychometrics package, including MIRT(multidimension item response theory), IRT(item response theory),GRM(grade response theory),CAT(computerized adaptive testing), CDM(cognitive diagnostic model), FA(factor analysis), SEM(Structural Equation Modeling) .
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tmsalab/hmcdm
R package for fitting hidden Markov cognitive diagnosis models for learning.
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alexanderrobitzsch/CDM
Cognitive Diagnosis Modeling
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tmsalab/rrum
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>.
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tmsalab/simcdm
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>.
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tmsalab/edina
Perform a Bayesian estimation of the Exploratory Deterministic Input, Noisy “And” Gate (EDINA) cognitive diagnostic model described by Chen et al. (2018) <doi:10.1007/s11336-017-9579-4>
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tmsalab/cIRT
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.
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tmsalab/edmcore
🚨[WIP]🚨Classes and Algorithms used across Exploratory Diagnostic Modeling Framework
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tmsalab/shinyecdm
Web interface powered by shiny for modeling with exploratory cognitive diagnostic models (ECDMs)
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tmsalab/edm-book
An overview of the ECDM modeling framework.
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bigdata-ustc/XCD Fork of tswsxk/XCD
Mixture of Cognitive Diagnosis Models
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tmsalab/fourPNO
Estimate Barton & Lord's (1981) <doi:10.1002/j.2333-8504.1981.tb01255.x> four parameter IRT model with lower and upper asymptotes using Bayesian formulation described by Culpepper (2016) <doi:10.1007/s11336-015-9477-6>.
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