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author | Lars-Dominik Braun <ldb@leibniz-psychology.org> | 2021-03-12 14:09:45 +0100 |
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committer | Lars-Dominik Braun <ldb@leibniz-psychology.org> | 2021-03-12 14:34:18 +0100 |
commit | 23bfd152c286b7b6fd9ca6921ec9f78474e973db (patch) | |
tree | 632bbba284f0ff2ecec011fd485ad9679a6a3798 /gnu | |
parent | 8a51be3cddf2b829e4234a23aad347fb2381281a (diff) |
gnu: Add r-ez.
* gnu/packages/cran.scm (r-ez): New variable.
Diffstat (limited to 'gnu')
-rw-r--r-- | gnu/packages/cran.scm | 40 |
1 files changed, 40 insertions, 0 deletions
diff --git a/gnu/packages/cran.scm b/gnu/packages/cran.scm index b65288390b..e6b205077b 100644 --- a/gnu/packages/cran.scm +++ b/gnu/packages/cran.scm @@ -27313,3 +27313,43 @@ package online.") "This package provides a collection of templates to author preregistration documents for scientific studies in PDF format.") (license license:gpl3))) + +(define-public r-ez + (package + (name "r-ez") + (version "4.4-0") + (source + (origin + (method url-fetch) + (uri (cran-uri "ez" version)) + (sha256 + (base32 + "0a58s94x576dfz7wcbivrr2hmdh5x1vy16zwkqp9fmdzqx38pagq")))) + (properties `((upstream-name . "ez"))) + (build-system r-build-system) + (propagated-inputs + `(("r-car" ,r-car) + ("r-ggplot2" ,r-ggplot2) + ("r-lme4" ,r-lme4) + ("r-mass" ,r-mass) + ("r-matrix" ,r-matrix) + ("r-mgcv" ,r-mgcv) + ("r-plyr" ,r-plyr) + ("r-reshape2" ,r-reshape2) + ("r-scales" ,r-scales) + ("r-stringr" ,r-stringr))) + (home-page "https://github.com/mike-lawrence/ez") + (synopsis "Easy Analysis and Visualization of Factorial Experiments") + (description + "Facilitates easy analysis of factorial experiments, including purely +within-Ss designs (a.k.a. \"repeated measures\"), purely between-Ss designs, +and mixed within-and-between-Ss designs. The functions in this package aim to +provide simple, intuitive and consistent specification of data analysis and +visualization. Visualization functions also include design visualization for +pre-analysis data auditing, and correlation matrix visualization. Finally, +this package includes functions for non-parametric analysis, including +permutation tests and bootstrap resampling. The bootstrap function obtains +predictions either by cell means or by more advanced/powerful mixed effects +models, yielding predictions and confidence intervals that may be easily +visualized at any level of the experiment's design.") + (license license:gpl2+))) |