Automated Test Assembly with Julia

A Wald statistic for group-level cheating detection

This repository presents different IRT Bayesian models that combine continuous and binary outcomes.

Adaptive learning engine with IRT algorithm and AI-powered study plans using Gemin

regDIF: Regularized Differential Item Functioning

A R package to fit IRT model (1PL, 2PL, GRM, PRM) in Generalized Linear Mixed Modeling (GLMM) framework

Examining the psychometric properties of the survey items based on the responses from the patients. IRT models (graded response model, GRMs), CFA, and EFA were used for analysis

Run differential item functioning analysis on items from a multistage computer adaptive test using examinee ability as matching criterion

Analysis of the RASI data using a Bayesian IRT

Modular/extensible Julia library for Computer Adaptive Tests

Test out GIRTH and GIRTH_MCMC in a docker container

Fast and Efficient Marginal Maximum Likelihood Estimation of Item Response Models.

Code for exam simulation app in R Shiny.

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

AI-powered adaptive testing engine using FastAPI, MongoDB, and IRT-based difficulty adjustment.

Visualizing and analyzing tests using (M)IRT in R. See current stable version:

1D Adaptive Testing Engine using Item Response Theory (IRT) | FastAPI · MongoDB Atlas · GPT-4o-mini | Dynamically adjusts GRE question difficulty based on real-time ability estimation

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

An R interface for fitting Thurstonian models using Mplus.

Unidimensional IRT models using mirt