Estimate diagnostic classification models (also called cognitive diagnostic models) with 'Stan'. Diagnostic classification models are confirmatory latent class models, as described by Rupp et al. (2010, ISBN: 978-1-60623-527-0). Automatically generate 'Stan' code for the general loglinear cognitive diagnostic diagnostic model proposed by Henson et al. (2009) <doi:10.1007/s11336-008-9089-5> and other subtypes that introduce additional model constraints. Using the generated 'Stan' code, estimate the model evaluate the model's performance using model fit indices, information criteria, and reliability metrics.
Version: 1.0.0 Depends: R (≥ 4.1.0) Imports: dcm2, dplyr (≥ 1.1.1), fs, glue, loo, magrittr, methods, posterior, psych, Rcpp (≥ 0.12.0), RcppParallel (≥ 5.0.1), rlang (≥ 0.4.11), rstan (≥ 2.26.0), rstantools (≥ 2.3.0), stats, tibble, tidyr (≥ 1.3.0) LinkingTo: BH (≥ 1.66.0), Rcpp (≥ 0.12.0), RcppEigen (≥ 0.3.3.3.0), RcppParallel (≥ 5.0.1), rstan (≥ 2.26.0), StanHeaders (≥ 2.26.0) Suggests: cli, cmdstanr (≥ 0.4.0), crayon, knitr, rmarkdown, roxygen2, spelling, testthat (≥ 3.0.0) Published: 2024-01-30 DOI: 10.32614/CRAN.package.measr Author: W. Jake Thompson [aut, cre], Nathan Jones [ctb], Matthew Johnson [cph] (Provided code adapted for reliability.measrdcm()), Paul-Christian Bürkner [cph] (Author of eval_silent()), University of Kansas [cph], Institute of Education Sciences [fnd] Maintainer: W. Jake Thompson <wjakethompson at gmail.com> BugReports: https://github.com/wjakethompson/measr/issues License: GPL (≥ 3) URL: https://measr.info, https://github.com/wjakethompson/measr NeedsCompilation: yes SystemRequirements: GNU make Additional_repositories: https://mc-stan.org/r-packages/ Language: en-US Citation: measr citation info Materials: README NEWS CRAN checks: measr results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=measr to link to this page.
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