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author | Ricardo Wurmus <rekado@elephly.net> | 2019-03-24 23:34:18 +0100 |
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committer | Ricardo Wurmus <rekado@elephly.net> | 2019-03-24 23:44:13 +0100 |
commit | 91c1fbdfdd2b18ae3c77c150d558c7947276d59e (patch) | |
tree | 49e622a8101e726198d4626919c858e95698de94 /gnu | |
parent | c4d521ba2c14ddf7f3be9ca430e03add435ff0e7 (diff) | |
download | patches-91c1fbdfdd2b18ae3c77c150d558c7947276d59e.tar patches-91c1fbdfdd2b18ae3c77c150d558c7947276d59e.tar.gz |
gnu: Add r-adegenet.
* gnu/packages/cran.scm (r-adegenet): 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 6079ed9737..b1466dc27b 100644 --- a/gnu/packages/cran.scm +++ b/gnu/packages/cran.scm @@ -12266,3 +12266,42 @@ distance and tessellations, for summarizing these objects, and for permitting their use in spatial data analysis, including regional aggregation by minimum spanning tree.") (license license:gpl2+))) + +(define-public r-adegenet + (package + (name "r-adegenet") + (version "2.1.1") + (source + (origin + (method url-fetch) + (uri (cran-uri "adegenet" version)) + (sha256 + (base32 + "0ynfblp0hbd3dp3k86fn1wyhqr28lk6hs2bg4q7gyf0sfdfzwhrh")))) + (build-system r-build-system) + (propagated-inputs + `(("r-ade4" ,r-ade4) + ("r-ape" ,r-ape) + ("r-boot" ,r-boot) + ("r-dplyr" ,r-dplyr) + ("r-ggplot2" ,r-ggplot2) + ("r-igraph" ,r-igraph) + ("r-mass" ,r-mass) + ("r-reshape2" ,r-reshape2) + ("r-seqinr" ,r-seqinr) + ("r-shiny" ,r-shiny) + ("r-spdep" ,r-spdep) + ("r-vegan" ,r-vegan))) + (home-page "https://github.com/thibautjombart/adegenet") + (synopsis "Exploratory analysis of genetic and genomic data") + (description + "This package provides a toolset for the exploration of genetic and +genomic data. Adegenet provides formal (S4) classes for storing and handling +various genetic data, including genetic markers with varying ploidy and +hierarchical population structure (@code{genind} class), alleles counts by +populations (@code{genpop}), and genome-wide SNP data (@code{genlight}). It +also implements original multivariate methods (DAPC, sPCA), graphics, +statistical tests, simulation tools, distance and similarity measures, and +several spatial methods. A range of both empirical and simulated datasets is +also provided to illustrate various methods.") + (license license:gpl2+))) |