aboutsummaryrefslogtreecommitdiff
path: root/gnu/packages/cran.scm
diff options
context:
space:
mode:
authorLars-Dominik Braun <ldb@leibniz-psychology.org>2020-02-04 14:16:57 +0100
committerRicardo Wurmus <rekado@elephly.net>2020-02-22 20:42:13 +0100
commita21ff0724b3680732fcc48981d656f3656375be4 (patch)
tree4c24f3011686d3a45a5490a90b78330a8641af59 /gnu/packages/cran.scm
parent9cc3cfcbe8754dc205e5d08273a56784418115c6 (diff)
downloadpatches-a21ff0724b3680732fcc48981d656f3656375be4.tar
patches-a21ff0724b3680732fcc48981d656f3656375be4.tar.gz
gnu: Add r-erm.
* gnu/packages/cran.scm (r-erm): New variable.
Diffstat (limited to 'gnu/packages/cran.scm')
-rw-r--r--gnu/packages/cran.scm32
1 files changed, 32 insertions, 0 deletions
diff --git a/gnu/packages/cran.scm b/gnu/packages/cran.scm
index d8e6488700..f307c116df 100644
--- a/gnu/packages/cran.scm
+++ b/gnu/packages/cran.scm
@@ -20162,3 +20162,35 @@ 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+)))
+
+(define-public r-erm
+ (package
+ (name "r-erm")
+ (version "1.0-0")
+ (source
+ (origin
+ (method url-fetch)
+ (uri (cran-uri "eRm" version))
+ (sha256
+ (base32
+ "11p8j61arq1ih2qi33wf0442vcdbp3zvknzm5aknsifwl4mbzzly"))))
+ (properties `((upstream-name . "eRm")))
+ (build-system r-build-system)
+ (propagated-inputs
+ `(("r-lattice" ,r-lattice)
+ ("r-mass" ,r-mass)
+ ("r-matrix" ,r-matrix)))
+ (native-inputs `(("gfortran" ,gfortran)))
+ (home-page "https://cran.r-project.org/package=eRm")
+ (synopsis "Extended Rasch modeling")
+ (description
+ "This package provides tools to fit @dfn{Rasch models} (RM), @dfn{linear
+logistic test models} (LLTM), @dfn{rating scale model} (RSM), @dfn{linear
+rating scale models} (LRSM), @dfn{partial credit models} (PCM), and
+@dfn{linear partial credit models} (LPCM). Missing values are allowed in the
+data matrix. Additional features are the ML estimation of the person
+parameters, Andersen's LR-test, item-specific Wald test, Martin-Loef-Test,
+nonparametric Monte-Carlo Tests, itemfit and personfit statistics including
+infit and outfit measures, ICC and other plots, automated stepwise item
+elimination, and a simulation module for various binary data matrices.")
+ (license license:gpl3)))