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authorLars-Dominik Braun <ldb@leibniz-psychology.org>2020-02-04 14:16:30 +0100
committerRicardo Wurmus <rekado@elephly.net>2020-02-22 20:42:13 +0100
commit9cc3cfcbe8754dc205e5d08273a56784418115c6 (patch)
tree209040266af3ee14bd7cd179a9298416f9eef1bd /gnu/packages/cran.scm
parent55c067a309e5321e8232849609f64a5790ddec18 (diff)
downloadguix-9cc3cfcbe8754dc205e5d08273a56784418115c6.tar.gz
gnu: Add r-tam.
* gnu/packages/cran.scm (r-tam): New variable.
Diffstat (limited to 'gnu/packages/cran.scm')
-rw-r--r--gnu/packages/cran.scm29
1 files changed, 29 insertions, 0 deletions
diff --git a/gnu/packages/cran.scm b/gnu/packages/cran.scm
index 5bbc975c06..d8e6488700 100644
--- a/gnu/packages/cran.scm
+++ b/gnu/packages/cran.scm
@@ -20133,3 +20133,32 @@ estimation and the package structure.  For tutorials on how to use the CDM
 package see George and Robitzsch (2015, @url{doi:10.20982/tqmp.11.3.p189}) as
 well as Ravand and Robitzsch (2015).")
     (license license:gpl2+)))
+
+(define-public r-tam
+  (package
+    (name "r-tam")
+    (version "3.3-10")
+    (source
+     (origin
+       (method url-fetch)
+       (uri (cran-uri "TAM" version))
+       (sha256
+        (base32
+         "1rkjp5x6wrk1dfspp1imvfals0wvy4w1wb8a5mhfbnilc7vgnlbq"))))
+    (properties `((upstream-name . "TAM")))
+    (build-system r-build-system)
+    (propagated-inputs
+     `(("r-cdm" ,r-cdm)
+       ("r-rcpp" ,r-rcpp)
+       ("r-rcpparmadillo" ,r-rcpparmadillo)))
+    (home-page "http://www.edmeasurementsurveys.com/TAM/Tutorials/")
+    (synopsis "Test analysis modules")
+    (description
+     "This package includes tools for marginal maximum likelihood estimation
+and joint maximum likelihood estimation for unidimensional and
+multidimensional item response models.  The package functionality covers the
+Rasch model, 2PL model, 3PL model, generalized partial credit model,
+multi-faceted Rasch model, nominal item response model, structured latent
+class model, mixture distribution IRT models, and located latent class models.
+Latent regression models and plausible value imputation are also supported.")
+    (license license:gpl2+)))