gnu: Add r-sjstats.
* gnu/packages/cran.scm (r-sjstats): New variable.
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@ -6483,3 +6483,49 @@ from R) to obtain an efficient implementation of the applied Laplace
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approximation with exact derivatives. Key features are: Automatic sparseness
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detection, parallelism through BLAS and parallel user templates.")
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(license license:gpl2)))
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(define-public r-sjstats
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(package
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(name "r-sjstats")
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(version "0.17.1")
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(source
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(origin
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(method url-fetch)
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(uri (cran-uri "sjstats" version))
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(sha256
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(base32
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"0s9b0xr8gmcm0kh48jkwk8ns0lqknd8kpys4f7czf0xwzmcx2n1z"))))
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(build-system r-build-system)
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(propagated-inputs
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`(("r-bayesplot" ,r-bayesplot)
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("r-broom" ,r-broom)
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("r-coin" ,r-coin)
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("r-crayon" ,r-crayon)
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("r-dplyr" ,r-dplyr)
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("r-emmeans" ,r-emmeans)
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("r-glmmtmb" ,r-glmmtmb)
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("r-lme4" ,r-lme4)
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("r-magrittr" ,r-magrittr)
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("r-mass" ,r-mass)
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("r-matrix" ,r-matrix)
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("r-modelr" ,r-modelr)
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("r-nlme" ,r-nlme)
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("r-purrr" ,r-purrr)
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("r-pwr" ,r-pwr)
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("r-rlang" ,r-rlang)
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("r-sjlabelled" ,r-sjlabelled)
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("r-sjmisc" ,r-sjmisc)
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("r-tidyr" ,r-tidyr)))
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(home-page "https://github.com/strengejacke/sjstats")
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(synopsis "Functions for common statistical computations")
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(description
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"This package provides a collection of convenient functions for common
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statistical computations, which are not directly provided by R's @code{base}
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or @code{stats} packages. This package aims at providing, first, shortcuts
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for statistical measures, which otherwise could only be calculated with
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additional effort. Second, these shortcut functions are generic, and can be
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applied not only to vectors, but also to other objects as well. The focus of
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most functions lies on summary statistics or fit measures for regression
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models, including generalized linear models, mixed effects models and Bayesian
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models.")
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(license license:gpl3)))
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