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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.
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Package details |
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| Author | c( 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"))) |
| Maintainer | Diane Losardo <dlosardo@amplify.com> |
| License | GPL (>= 3) |
| Version | 1.0 |
| Package repository | View on CRAN |
| Installation |
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