Latent Class Analysis(LCA), LCA for ordinal indicators, Latent class growth modeling, Laten Profile Analysis, Rasch model, Linear Logistic Test Model, Rasch mixture model, linear and equipercentile equating can be performed within module.

D-score for Child Development

Ruby gem with Rasch, 2PL, and 3PL implementations for Item Response Theory (IRT), supporting missing data handling, adaptive optimization, and more.

IRT models using various Bayesian methods

This repository implements Rasch model using Pytorch.

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

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.

This repository contains analysis of the indicators of food insecurity

Analysis of student data from quizzes

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

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.

Psychometric analyses of Stockholmsenkäten using Rasch Measurement Theory with R and Quarto

A powerful desktop application for calculating and analyzing the Rasch model, built with JavaFX.

Various R scripts concerning psychometrics, Rasch, and other things

An implementation of the BUGS example LSAT: item response (http://www.openbugs.net/Examples/Lsat.html) on R. Parameters for the Rasch model are estimated using Maximum Marginal Likelihood as well as Bayesian Inference using jags and an implementation of Metropolis on R.

Repository for the Emoxicon R package

Repository to hold my course project for the "Item Response Theory" elective discipline taken at FMI.