An adaptive learning tool that will use machine learning techniques to tailor the learning experience to each individual learner.
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Updated
Apr 29, 2024 - TypeScript
An adaptive learning tool that will use machine learning techniques to tailor the learning experience to each individual learner.
Aplicación de IRT a Pobreza Multidimensional
Unidimensional IRT models using mirt
Repository for the Emoxicon R package
Ordinal Cumulative Hurdle Logit Model
Rasch modeling with all the bells and whistles. Implementations for Rasch model, partial credit model, rating scale model, and its linear extensions (upcoming). Classical and Bayesian estimation.
Estimating functions for the polytomous testlet response models. See Kang, Han, Kim, & Kao. (2021, EPM)
Running simulation scripts through R and flexMIRT for Multiple Item Response Theory.
A lightweight julia package providing basic implementations of item response models
Multilevel Item Response Theory Models for STAT 525 Class
An API for item response modelling in Julia
Item Response Theory model with Polya-Gamma data augmentation and EM Algorithm.
Visualizations for item response models with Makie.jl
Automated Test Assembly with Julia
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.
implement machine learning models from scratch
The oVLT: The Open Source Vocabulary Level Test
A Haskell library similar in functionality to the CAT portions of the `catIrt` R library
Code and data for "Confirmatory factor analysis of the Maltreatment and Abuse Chronology of Exposure (MACE) scale: Evidence for essential unidimensionality".
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