@@ -19633,3 +19633,30 @@ observation schemes are supported. Both Markov transition rates and the hidden
Markov output process can be modelled in terms of covariates, which may be
constant or piecewise-constant in time.")
(license license:gpl2+)))
+
+(define-public r-ltm
+ (package
+ (name "r-ltm")
+ (version "1.1-1")
+ (source
+ (origin
+ (method url-fetch)
+ (uri (cran-uri "ltm" version))
+ (sha256
+ (base32
+ "1qrgzwx5l58qf5rfp1knxc84r0g943q5sdr3ky74zzwpnmrf2vf7"))))
+ (properties `((upstream-name . "ltm")))
+ (build-system r-build-system)
+ (propagated-inputs
+ `(("r-mass" ,r-mass)
+ ("r-msm" ,r-msm)
+ ("r-polycor" ,r-polycor)))
+ (home-page "https://github.com/drizopoulos/ltm")
+ (synopsis "Latent Trait Models under IRT")
+ (description
+ "Analysis of multivariate dichotomous and polytomous data using latent
+trait models under the Item Response Theory approach. It includes the Rasch,
+the Two-Parameter Logistic, the Birnbaum's Three-Parameter, the Graded
+Response, and the Generalized Partial Credit Models.")
+ (license license:gpl2+)))
+