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gnu: Add r-ggeffects.

* gnu/packages/cran.scm (r-ggeffects): New variable.
This commit is contained in:
Ricardo Wurmus 2018-10-25 05:17:04 +02:00
parent 413944234c
commit 489a6178e6
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@ -6561,3 +6561,42 @@ Gaussian on the scale of the linear predictor and are integrated out using the
Laplace approximation. Gradients are calculated using automatic
differentiation.")
(license license:agpl3+)))
(define-public r-ggeffects
(package
(name "r-ggeffects")
(version "0.6.0")
(source
(origin
(method url-fetch)
(uri (cran-uri "ggeffects" version))
(sha256
(base32
"00l02g7yssqxmcmbrzk2wsj3i9ywd0xsy0rmbfh57q1qi76a1wq1"))))
(build-system r-build-system)
(propagated-inputs
`(("r-crayon" ,r-crayon)
("r-dplyr" ,r-dplyr)
("r-ggplot2" ,r-ggplot2)
("r-lme4" ,r-lme4)
("r-magrittr" ,r-magrittr)
("r-mass" ,r-mass)
("r-prediction" ,r-prediction)
("r-purrr" ,r-purrr)
("r-rlang" ,r-rlang)
("r-scales" ,r-scales)
("r-sjlabelled" ,r-sjlabelled)
("r-sjmisc" ,r-sjmisc)
("r-sjstats" ,r-sjstats)
("r-tidyr" ,r-tidyr)))
(home-page "https://github.com/strengejacke/ggeffects")
(synopsis "Create tidy data frames of marginal effects for ggplot")
(description
"This package provides tools to compute marginal effects from statistical
models and return the result as tidy data frames. These data frames are ready
to use with the @code{ggplot2} package. Marginal effects can be calculated
for many different models. Interaction terms, splines and polynomial terms
are also supported. The two main functions are @code{ggpredict()} and
@code{ggeffect()}. There is a generic @code{plot()} method to plot the
results using @code{ggplot2}.")
(license license:gpl3)))