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| -rw-r--r-- | gnu/packages/statistics.scm | 34 |
1 files changed, 34 insertions, 0 deletions
diff --git a/gnu/packages/statistics.scm b/gnu/packages/statistics.scm index 4d775df441..28932aa705 100644 --- a/gnu/packages/statistics.scm +++ b/gnu/packages/statistics.scm @@ -671,6 +671,40 @@ like tidy evaluation.") and printing capabilities than traditional data frames.") (license license:expat))) +(define-public r-xpose4 + (package + (name "r-xpose4") + (version "4.7.2") + (source + (origin + (method git-fetch) + (uri (git-reference + (url "https://github.com/UUPharmacometrics/xpose4") + (commit (string-append "V" version)))) + (file-name (git-file-name name version)) + (sha256 + (base32 "1p1mrgb3s7iz61366v36xswn36ivpgqiy7qwxy6yh3hi6y6rjf2j")))) + (build-system r-build-system) + (native-inputs (list r-testthat)) + (propagated-inputs (list r-lattice + r-hmisc + r-survival + r-dplyr + r-tibble + r-lazyeval + r-gam + r-readr)) + (home-page "https://uupharmacometrics.github.io/xpose4/") + (synopsis "Diagnostics for nonlinear mixed-effect models") + (description + "This package is a model building aid for nonlinear mixed-effects +(population) model analysis using NONMEM, facilitating data set checkout, +exploration and visualization, model diagnostics, candidate covariate +identification and model comparison. The methods are described in +Keizer et al. (2013) <doi:10.1038/psp.2013.24>, and Jonsson et al. +(1999) <doi:10.1016/s0169-2607(98)00067-4>.") + (license license:lgpl3+))) + (define-public python-vega-datasets (package (name "python-vega-datasets") |