gnu: Add r-sjstats.

* gnu/packages/cran.scm (r-sjstats): New variable.
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Ricardo Wurmus 2018-10-25 05:16:44 +02:00
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@ -6483,3 +6483,49 @@ from R) to obtain an efficient implementation of the applied Laplace
approximation with exact derivatives. Key features are: Automatic sparseness
detection, parallelism through BLAS and parallel user templates.")
(license license:gpl2)))
(define-public r-sjstats
(package
(name "r-sjstats")
(version "0.17.1")
(source
(origin
(method url-fetch)
(uri (cran-uri "sjstats" version))
(sha256
(base32
"0s9b0xr8gmcm0kh48jkwk8ns0lqknd8kpys4f7czf0xwzmcx2n1z"))))
(build-system r-build-system)
(propagated-inputs
`(("r-bayesplot" ,r-bayesplot)
("r-broom" ,r-broom)
("r-coin" ,r-coin)
("r-crayon" ,r-crayon)
("r-dplyr" ,r-dplyr)
("r-emmeans" ,r-emmeans)
("r-glmmtmb" ,r-glmmtmb)
("r-lme4" ,r-lme4)
("r-magrittr" ,r-magrittr)
("r-mass" ,r-mass)
("r-matrix" ,r-matrix)
("r-modelr" ,r-modelr)
("r-nlme" ,r-nlme)
("r-purrr" ,r-purrr)
("r-pwr" ,r-pwr)
("r-rlang" ,r-rlang)
("r-sjlabelled" ,r-sjlabelled)
("r-sjmisc" ,r-sjmisc)
("r-tidyr" ,r-tidyr)))
(home-page "https://github.com/strengejacke/sjstats")
(synopsis "Functions for common statistical computations")
(description
"This package provides a collection of convenient functions for common
statistical computations, which are not directly provided by R's @code{base}
or @code{stats} packages. This package aims at providing, first, shortcuts
for statistical measures, which otherwise could only be calculated with
additional effort. Second, these shortcut functions are generic, and can be
applied not only to vectors, but also to other objects as well. The focus of
most functions lies on summary statistics or fit measures for regression
models, including generalized linear models, mixed effects models and Bayesian
models.")
(license license:gpl3)))