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@ -20099,3 +20099,37 @@ for importing SEM results into R. Any result usable as input to semPlot can
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also be represented in any of the three popular SEM frame-works, as well as
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also be represented in any of the three popular SEM frame-works, as well as
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translated to input syntax for the R packages @code{sem} and @code{lavaan}.")
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translated to input syntax for the R packages @code{sem} and @code{lavaan}.")
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(license license:gpl2)))
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(license license:gpl2)))
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(define-public r-cdm
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(package
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(name "r-cdm")
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(version "7.4-19")
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(source
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(origin
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(method url-fetch)
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(uri (cran-uri "CDM" version))
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(sha256
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(base32
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"1ln1r3rk004fmk55iy08bjh3vv4wnkb8zg2wj3r9rq7pi8jn8fv4"))))
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(properties `((upstream-name . "CDM")))
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(build-system r-build-system)
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(propagated-inputs
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`(("r-mvtnorm" ,r-mvtnorm)
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("r-polycor" ,r-polycor)
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("r-rcpp" ,r-rcpp)
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("r-rcpparmadillo" ,r-rcpparmadillo)))
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(home-page
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"https://github.com/alexanderrobitzsch/CDM")
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(synopsis "Cognitive diagnosis modeling")
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(description
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"This package provides functions for cognitive diagnosis modeling and
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multidimensional item response modeling for dichotomous and polytomous item
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responses. It enables the estimation of the DINA and DINO model, the multiple
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group (polytomous) GDINA model, the multiple choice DINA model, the general
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diagnostic model (GDM), the structured latent class model (SLCA), and
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regularized latent class analysis. See George, Robitzsch, Kiefer, Gross, and
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Uenlue (2017) @url{doi:10.18637/jss.v074.i02} for further details on
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estimation and the package structure. For tutorials on how to use the CDM
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package see George and Robitzsch (2015, @url{doi:10.20982/tqmp.11.3.p189}) as
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well as Ravand and Robitzsch (2015).")
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(license license:gpl2+)))
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