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author | Lars-Dominik Braun <ldb@leibniz-psychology.org> | 2020-02-04 14:17:17 +0100 |
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committer | Ricardo Wurmus <rekado@elephly.net> | 2020-02-22 20:42:13 +0100 |
commit | 4b9bb70fa5389c326f35d9e71f2aace8d6875bc1 (patch) | |
tree | ee1b98944af2112e6898727f123e1139af97dca6 /gnu/packages/cran.scm | |
parent | a21ff0724b3680732fcc48981d656f3656375be4 (diff) | |
download | guix-patches-4b9bb70fa5389c326f35d9e71f2aace8d6875bc1.tar guix-patches-4b9bb70fa5389c326f35d9e71f2aace8d6875bc1.tar.gz |
gnu: Add r-irtoys.
* gnu/packages/cran.scm (r-irtoys): New variable.
Diffstat (limited to 'gnu/packages/cran.scm')
-rw-r--r-- | gnu/packages/cran.scm | 30 |
1 files changed, 30 insertions, 0 deletions
diff --git a/gnu/packages/cran.scm b/gnu/packages/cran.scm index f307c116df..23d40f60e4 100644 --- a/gnu/packages/cran.scm +++ b/gnu/packages/cran.scm @@ -20194,3 +20194,33 @@ 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))) + +(define-public r-irtoys + (package + (name "r-irtoys") + (version "0.2.1") + (source + (origin + (method url-fetch) + (uri (cran-uri "irtoys" version)) + (sha256 + (base32 + "0h6iiaxikhbxhbyksbjnb09qdxinlkwr2v9yzs5wslbni14paq5q")))) + (properties `((upstream-name . "irtoys"))) + (build-system r-build-system) + (propagated-inputs + `(("r-ltm" ,r-ltm) + ("r-sm" ,r-sm))) + (home-page "https://cran.r-project.org/package=irtoys") + (synopsis "Collection of functions related to Item Response Theory (IRT)") + (description + "This package provides a collection of functions useful in learning and +practicing @dfn{Item Response Theory} (IRT), which can be combined into larger +programs. It provides basic CTT analysis, a simple common interface to the +estimation of item parameters in IRT models for binary responses with three +different programs (ICL, BILOG-MG, and ltm), ability estimation (MLE, BME, +EAP, WLE, plausible values), item and person fit statistics, scaling +methods (MM, MS, Stocking-Lord, and the complete Hebaera method), and a rich +array of parametric and non-parametric (kernel) plots. It estimates and plots +Haberman's interaction model when all items are dichotomously scored.") + (license license:gpl2+))) |