dcmr: Attribute profile estimation using Diagnostic Classification Models and MCMC

Analysis of dichotomous response data to obtain attribute profile estimates for respondents using Diagnostic Classification Model (DCM) and Markov Chain Monte Carlo (MCMC) method. The estimation procedure uses a loglinear cognitive diagnostic modeling (LDCM) framework that allows for the estimation of a host of DCMs such as NIDO, NIDA, NC-RUM etc.

Getting started

Package details

Authorc( person("Diane", family="Losardo", email='dlosardo@amplify.com", role = c("aut", "cre", "cph")), person("Margi", family="Dubal", email='margidubal@gmail.com", role = c("aut", "cre", "cph")))
MaintainerDiane Losardo <dlosardo@amplify.com>
LicenseGPL (>= 3)
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the dcmr package in your browser

Any scripts or data that you put into this service are public.

dcmr documentation built on May 29, 2017, 10:41 p.m.