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) .

Computerized Adaptive Testing Simulator

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).

An Item Response Theory Package for Python

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

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

Test and Item Analysis via Shiny

GDINA

An R package for estimating generalized additive mixed models with latent variables

Supplementary Item Response Theory Models

Cognitive Diagnosis Modeling

Bayesian IRT submodule for GIRTH

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

Test Analysis Modules

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

An aid for development and diagnosis of pharmacometric IRT models

Kot is a basic toolkit for getting started with computerised adaptive testing (CAT) in Ruby.

An R package for the shadow-test approach to CAT.