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author | Ricardo Wurmus <rekado@elephly.net> | 2018-10-25 05:17:04 +0200 |
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committer | Ricardo Wurmus <rekado@elephly.net> | 2018-10-25 05:17:42 +0200 |
commit | 489a6178e68a3a740ecf5c076d05b352bc448fae (patch) | |
tree | 931ca885de6e59da03c7e10294c6de276f31136e /gnu | |
parent | 413944234cf736f6e180a3c075df7e8229727d8f (diff) | |
download | patches-489a6178e68a3a740ecf5c076d05b352bc448fae.tar patches-489a6178e68a3a740ecf5c076d05b352bc448fae.tar.gz |
gnu: Add r-ggeffects.
* gnu/packages/cran.scm (r-ggeffects): New variable.
Diffstat (limited to 'gnu')
-rw-r--r-- | gnu/packages/cran.scm | 39 |
1 files changed, 39 insertions, 0 deletions
diff --git a/gnu/packages/cran.scm b/gnu/packages/cran.scm index 4cd11bfd24..a28b8195d1 100644 --- a/gnu/packages/cran.scm +++ b/gnu/packages/cran.scm @@ -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))) |