measr: Bayesian Psychometric Measurement Using 'Stan'
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: | 2.0.0 |
| Depends: | R (≥ 4.1.0) |
| Imports: | bridgesampling, cli, dcm2, dcmstan (≥ 0.1.0), dplyr (≥ 1.1.1), dtplyr, fs, glue, lifecycle, loo, methods, posterior, psych, Rcpp (≥ 0.12.0), RcppParallel (≥ 5.0.1), rdcmchecks, rlang (≥ 1.1.0), rstan (≥ 2.26.0), rstantools (≥ 2.6.0), S7, 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: | cmdstanr (≥ 0.4.0), dcmdata, knitr, rmarkdown, roxygen2, spelling, testthat (≥ 3.0.0), withr |
| Published: | 2026-01-14 |
| DOI: | 10.32614/CRAN.package.measr |
| Author: | W. Jake Thompson 
[aut, cre],
Jeffrey Hoover
[aut],
Auburn Jimenez
[ctb],
Nathan Jones
[ctb],
Matthew Johnson [cph] (Authored code adapted for measrdcm method for
`reliability()`),
University of Kansas [cph],
Institute of Education Sciences [fnd] |
| Maintainer: | W. Jake Thompson <wjakethompson at gmail.com> |
| BugReports: | https://github.com/r-dcm/measr/issues |
| License: | GPL (≥ 3) |
| URL: | https://measr.r-dcm.org, https://github.com/r-dcm/measr |
| NeedsCompilation: | yes |
| SystemRequirements: | GNU make |
| Additional_repositories: | https://stan-dev.r-universe.dev |
| Language: | en-US |
| Citation: | measr citation info |
| Materials: | README, NEWS |
| CRAN checks: | measr results |
Documentation:
| Reference manual: | measr.html , measr.pdf |
| Vignettes: |
Getting started with measr (source, R code) measr: Bayesian psychometric measurement using Stan (source) |
Downloads:
| Package source: | measr_2.0.0.tar.gz |
| Windows binaries: | r-devel: measr_1.0.0.zip, r-release: measr_2.0.0.zip, r-oldrel: measr_1.0.0.zip |
| macOS binaries: | r-release (arm64): measr_2.0.0.tgz, r-oldrel (arm64): measr_2.0.0.tgz, r-release (x86_64): measr_2.0.0.tgz, r-oldrel (x86_64): measr_2.0.0.tgz |
| Old sources: | measr archive |
Linking:
Please use the canonical form https://CRAN.R-project.org/package=measr to link to this page.