The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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: 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 ORCID iD [aut, cre], Nathan Jones ORCID iD [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:

Reference manual: measr.pdf
Vignettes: Getting started with measr
measr: Bayesian psychometric measurement using Stan

Downloads:

Package source: measr_1.0.0.tar.gz
Windows binaries: r-devel: measr_1.0.0.zip, r-release: measr_1.0.0.zip, r-oldrel: measr_1.0.0.zip
macOS binaries: r-release (arm64): measr_1.0.0.tgz, r-oldrel (arm64): measr_1.0.0.tgz, r-release (x86_64): measr_1.0.0.tgz, r-oldrel (x86_64): measr_1.0.0.tgz
Old sources: measr archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=measr to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.