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actions

TMSALab Customized GitHub Action workflows

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>.

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.

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>.

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>

edm

Modeling framework for Exploratory Diagnostic Models (EDM)

edm-book

An overview of the ECDM modeling framework.

edmcore

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

edmdata

Supplementary data package for the edm package

errum

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

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>.

hmcdm

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

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.

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

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>.

shinyecdm

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

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>.

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