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measr  

Bayesian Psychometric Measurement Using 'Stan'
View on CRAN: Click here


Download and install measr package within the R console
Install from CRAN:
install.packages("measr")

Install from Github:
library("remotes")
install_github("cran/measr")

Install by package version:
library("remotes")
install_version("measr", "2.0.0")



Attach the package and use:
library("measr")
Maintained by
W. Jake Thompson
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-04-03
Latest Update: 2024-01-30
Description:
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) 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.
How to cite:
W. Jake Thompson (2023). measr: Bayesian Psychometric Measurement Using 'Stan'. R package version 2.0.0, https://cran.r-project.org/web/packages/measr. Accessed 25 Jun. 2026.
Previous versions and publish date:
0.2.1 (2023-04-03 12:10), 0.3.1 (2023-05-28 00:30), 1.0.0 (2024-01-30 09:50), 2.0.0 (2026-01-14 15:30)
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Complete documentation for measr
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