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@ -19615,3 +19615,31 @@ other observation schemes are supported. Both Markov transition rates and the
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hidden Markov output process can be modelled in terms of covariates, which may
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hidden Markov output process can be modelled in terms of covariates, which may
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be constant or piecewise-constant in time.")
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be constant or piecewise-constant in time.")
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(license license:gpl2+)))
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(license license:gpl2+)))
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(define-public r-ltm
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(package
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(name "r-ltm")
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(version "1.1-1")
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(source
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(origin
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(method url-fetch)
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(uri (cran-uri "ltm" version))
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(sha256
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(base32
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"1qrgzwx5l58qf5rfp1knxc84r0g943q5sdr3ky74zzwpnmrf2vf7"))))
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(properties `((upstream-name . "ltm")))
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(build-system r-build-system)
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(propagated-inputs
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`(("r-mass" ,r-mass)
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("r-msm" ,r-msm)
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("r-polycor" ,r-polycor)))
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(home-page "https://github.com/drizopoulos/ltm")
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(synopsis "Latent trait models under IRT")
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(description
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"This is a package supporting the analysis of multivariate dichotomous
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and polytomous data using latent trait models under the Item Response Theory
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approach. It includes the Rasch, the Two-Parameter Logistic, the Birnbaum's
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Three-Parameter, the Graded Response, and the Generalized Partial Credit
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Models.")
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(license license:gpl2+)))
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