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autoRasch: Semi-Automated Rasch Analysis

Performs Rasch analysis (semi-)automatically, which has been shown to be comparable with the standard Rasch analysis (Feri Wijayanto et al. (2021) <doi:10.1111/bmsp.12218>, Feri Wijayanto et al. (2022) <doi:10.3758/s13428-022-01947-9>, Feri Wijayanto et al. (2022) <doi:10.1177/01466216221125178>).

Version: 0.2.2
Depends: R (≥ 3.4.0)
Imports: doParallel, foreach, Rcpp, lavaan
LinkingTo: RcppArmadillo, Rcpp
Suggests: testthat (≥ 3.0.0), knitr, rmarkdown, markdown
Published: 2022-10-19
DOI: 10.32614/CRAN.package.autoRasch
Author: Feri Wijayanto [aut, cre], Ioan Gabriel Bucur [aut], Perry Groot [aut], Tom Heskes [aut], Karlien Mul [ctb], Baziel G.M. van Engelen [ctb]
Maintainer: Feri Wijayanto <f.wijayanto at cs.ru.nl>
License: GPL-2
NeedsCompilation: yes
Materials: README
CRAN checks: autoRasch results

Documentation:

Reference manual: autoRasch.pdf
Vignettes: autoRasch: Working with the models
autoRasch: The Semi-automated Rasch Analysis

Downloads:

Package source: autoRasch_0.2.2.tar.gz
Windows binaries: r-devel: autoRasch_0.2.2.zip, r-release: autoRasch_0.2.2.zip, r-oldrel: autoRasch_0.2.2.zip
macOS binaries: r-release (arm64): autoRasch_0.2.2.tgz, r-oldrel (arm64): autoRasch_0.2.2.tgz, r-release (x86_64): autoRasch_0.2.2.tgz, r-oldrel (x86_64): autoRasch_0.2.2.tgz
Old sources: autoRasch archive

Linking:

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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.
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