CRAN/E | measr

measr

Bayesian Psychometric Measurement Using 'Stan'

Installation

About

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.

Citation measr citation info
measr.info
github.com/wjakethompson/measr
System requirements GNU make
Bug report File report

Key Metrics

Version 1.0.0
R ≥ 4.1.0
Published 2024-01-30 89 days ago
Needs compilation? yes
License GPL (≥ 3)
CRAN checks measr results
Language en-US

Downloads

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Maintainer

Maintainer

W. Jake Thompson

wjakethompson@gmail.com

Authors

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

Material

README
NEWS
Reference manual
Package source

Additional repos

mc-stan.org/r-packages/

Vignettes

Getting started with measr
measr: Bayesian psychometric measurement using Stan

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

measr archive

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

Suggests

cli
cmdstanr ≥ 0.4.0
crayon
knitr
rmarkdown
roxygen2
spelling
testthat ≥ 3.0.0

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