🛠️ Build resilient tests that adapt to file changes by focusing on code structure, ensuring your testing remains effective through refactoring.

idealstan offers item-response theory (IRT) ideal-point estimation for binary, ordinal, counts and continuous responses with time-varying and missing-data inference. Latent space model also included. Full and approximate Bayesian sampling with 'Stan' (www.mc-stan.org).

Computerized Adaptive Testing Simulator

IRT-based adaptive testing engine with real-time question selection

A collection of generic R templates for IRT analysis. These scripts are intended to be reusable: simply load your own dataset and adjust the variable names to apply the models to your specific use case.

The goal of psymetrics is to provide a unified set of tools to extract, compare, format, and visualize psychometric model fit indices and parameter estimates, offering a consistent workflow across popular R packages such as lavaan, psych, and mirt.

R scripts and minimal docs for IRT modeling of developmental milestone items (Germany–Namibia).

Modular/extensible Julia library for Computer Adaptive Tests

Multidimensional item response theory

tmt package for the application of the conditional maximum likelihood (CML) estimation in multistage designs

Sistema de Aproximación a la Detección Temprana de Botrytis Cinerea en el Arándano Biloxi mediante Termografía

PsyFramework is a standards-aligned platform for psychiatric assessment and research. It unifies surveys across ICD-10/11 and DSM-5-TR, with harmonized items, crosswalks, configurable batteries, longitudinal tracking, and exportable research-grade datasets.

Item Response Theory (IRT) — the framework behind adaptive tests like GRE and PTE. Designed for AI engineers and data scientists to grasp core IRT concepts for adaptive testing systems.

Extended Response Time Item Response Models with Polya-Gamma Sampler and Bayesian Quantile Regression.

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

An R interface for fitting Thurstonian models using Mplus.

Unidimensional IRT models using mirt

An operational psychometrics project: analysis of diagnostic mathematics assessment data collected between May 2022 and May 2023 from two combined college samples. The project's primary goal was to evaluate the psychometric properties of 174 math items using unidimensional Item Response Theory (IRT) models and testing for DIF across demographic

Book tutorial on Item Response Theory (IRT) using python interface. Dichotomous, Polytomous, Quantitative, and Multidimensional IRT models are introduced.

Computerized Adaptive Testing with Multidimensional Item Response Theory