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.

Various R scripts concerning psychometrics, Rasch, and other things

Repository for the Emoxicon R package

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

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

Analysis of student data from quizzes

This repository contains analysis of the indicators of food insecurity

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 implements Rasch model using Pytorch.

IRT models using various Bayesian methods

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