We are very pleased to announce the release of a new package, dcmstan. The goal of dcmstan is to provide users with a friendly interface for creating Stan scripts necessary for estimating diagnostic classification models (DCMs; also called cognitive diagnostic models [CDMs]). dcmstan is primarily intended to serve as a backend for {measr}, which will interface with {rstan} or {cmdstanr} to actually estimate a DCM.

We are so happy to announce the release of a new package, dcmdata. The goal of dcmdata is to provide easy access to data sets that can be used for demonstrating and testing diagnostic classification models (DCM; also called cognitive diagnostic models [CDMs]). You can install dcmdata from CRAN with: install.packages("dcmdata") This blog post will highlight the major features and plans for future development.

I am thrilled to announce the release of measr 1.0.0. The goal of measr is to provide a user-friendly interface for estimating and evaluating diagnostic classification models (DCMs; also called cognitive diagnostic models [CDMs]). This is a major release to mark the conclusion of the initial development work that was funded by the Institute of Education Sciences. Importantly, this does not mean that measr is going dormant!

I’m stoked to announce the release of measr 0.3.1. The goal of measr is to provide applied researchers and psychometricians with a user friendly interface for estimating and evaluating diagnostic classification models (DCMs). This update is a minor release to introduce a couple of enhancements to model and prior specifications.

We’re excited to announce the release of measr 0.2.1. The goal of measr is to provide applied researchers and psychometricians with a user friendly interface for estimating and evaluating diagnostic classification models (DCMs). DCMs are a class of psychometric models that provide classification of students into profiles of proficiency on a predefined set of knowledge, skills, or understandings.