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) .

The Model Zoo of Cognitive Diagnosis Models, including classic Item Response Ranking (IRT), Multidimensional Item Response Ranking (MIRT), Deterministic Input, Noisy "And" model(DINA), and advanced Fuzzy Cognitive Diagnosis Framework (FuzzyCDF), Neural Cognitive Diagnosis Model (NCDM) and Item Response Ranking framework (IRR).

A Java library for classical test theory, item response theory, factor analysis, and other measurement techniques. It provide tools commonly used in psychometrics and operational testing programs.

Repository for the OpenMx Structural Equation Modeling package

Computerized Adaptive Testing Simulator

Test and Item Analysis via Shiny

A PyTorch implementation of "Variational Item Response Theory: Fast Accurate, and Expressive"

An Item Response Theory Package for Python

GDINA

Supplementary Item Response Theory Models

Test Analysis Modules

Cognitive Diagnosis Modeling

Mixture of Cognitive Diagnosis Models

wnarifin.github.io hosts my lectures, files and R codes.

Estimate the Deterministic Input, Noisy "And" Gate (DINA) cognitive diagnostic model parameters using the Gibbs sampler described by Culpepper (2015) <doi:10.3102/1076998615595403>.

Multidimensional Computer Adaptive Testing with the Shadow Testing routine

Bringing Multinomial Processing Tree Models To Item Response Theory To Investigate Response Styles

R package for Rasch Measurement Theory based psychometrics, for use with the scientific publishing system Quarto.

Deep learning-based estimation and inference for item response theory models.

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>