TMSA Lab @ UIUC

dina

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

hmcdm

R package for fitting hidden Markov cognitive diagnosis models for learning.

edmdata

Supplementary data package for the edm package

cIRT

Jointly model the accuracy of cognitive responses and item choices within a bayesian hierarchical framework as described by Culpepper and Balamuta (2015) <doi:10.1007/s11336-015-9484-7>. In addition, the package contains the datasets used within the analysis of the paper.

edina

Perform a Bayesian estimation of the Exploratory Deterministic Input, Noisy “And” Gate (EDINA) cognitive diagnostic model described by Chen et al. (2018) <doi:10.1007/s11336-017-9579-4>

iccbeta

A function and vignettes for computing an intraclass correlation described in Aguinis & Culpepper (2015) <doi:10.1177/1094428114563618>. This package quantifies the share of variance in a dependent variable that is attributed to group heterogeneity in slopes.

bayesefa

Exploratory Bayesian factor analysis of continuous, mixed-type, and bounded continuous variables using the mode-jumping algorithm of Man and Culpepper (2020) <doi:10.1080/01621459.2020.1773833>.

edm

Modeling framework for Exploratory Diagnostic Models (EDM)

fourPNO

Estimate Barton & Lord's (1981) <doi:10.1002/j.2333-8504.1981.tb01255.x> four parameter IRT model with lower and upper asymptotes using Bayesian formulation described by Culpepper (2016) <doi:10.1007/s11336-015-9477-6>.

rrum

The goal of rrum is to provide an implementation of Gibbs sampling algorithm for Bayesian Estimation of reduced Reparametrized Unifed Model (rRUM), described by Culpepper and Hudson (2017) <doi: 10.1177/0146621617707511>.

simcdm

Simulate cognitive diagnostic model data for Deterministic Input, Noisy "And" Gate (DINA) and reduced Reparameterized Unified Model (rRUM) from Culpepper and Hudson (2017) <doi: 10.1177/0146621617707511>, Culpepper (2015) <doi:10.3102/1076998615595403>, and de la Torre (2009) <doi:10.3102/1076998607309474>.

actions

TMSALab Customized GitHub Action workflows

edm-book

An overview of the ECDM modeling framework.

edmcore

🚨[WIP]🚨Classes and Algorithms used across Exploratory Diagnostic Modeling Framework

errum

Perform a Bayesian estimation of the Exploratory reduced Reparameterized Unified Model (errum) described by Culpepper and Chen (2018) <doi:10.3102/1076998618791306>.

ohoegdm

Ordinal Higher-Order Exploratory General Diagnostic Models for Polytomous Data described by Culpepper and Balamuta (In Press) <doi:10.1080/00273171.2021.1985949>.

pathmodelfit

Fit Indices for the Path Component of Latent Variable Structural Equation Models

pg

Pólya-Gamma Distribution Random Samplers for both C++ via Rcpp or RcppArmadillo and R

pkg-dashboard

Dashboard containing overview of package information

shinyecdm

Web interface powered by shiny for modeling with exploratory cognitive diagnostic models (ECDMs)

slcm

Perform a Bayesian estimation of the exploratory Sparse Latent Class Model for Binary Data described by Chen, Y., Culpepper, S. A., and Liang, F. (2020) <https://doi.org/10.1007/s11336-019-09693-2>

targetsedm

tmsalab.github.io

TMSA Lab Website Repo

tmsapkg

Template package