diff options
| author | Ricardo Wurmus <rekado@elephly.net> | 2023-08-28 18:05:19 +0200 |
|---|---|---|
| committer | Ricardo Wurmus <rekado@elephly.net> | 2023-08-28 18:06:50 +0200 |
| commit | b4c7fe02ae5cdb05dc03982fa460a5ee0d7fd7f5 (patch) | |
| tree | 47a8bc7a397f0959d0057678b45d36fdef4b8e5b /gnu/packages/bioconductor.scm | |
| parent | 28e9d08364bd48b88a4ded93ae948cd5ddbd48c9 (diff) | |
gnu: Add r-lea.
* gnu/packages/bioconductor.scm (r-lea): New variable.
Diffstat (limited to 'gnu/packages/bioconductor.scm')
| -rw-r--r-- | gnu/packages/bioconductor.scm | 31 |
1 files changed, 31 insertions, 0 deletions
diff --git a/gnu/packages/bioconductor.scm b/gnu/packages/bioconductor.scm index 706c38e6c9..c2b0ec4853 100644 --- a/gnu/packages/bioconductor.scm +++ b/gnu/packages/bioconductor.scm @@ -7781,6 +7781,37 @@ Shiny-based display methods for Bioconductor objects.") @dfn{Kyoto Encyclopedia of Genes and Genomes} (KEGG) REST server.") (license license:artistic2.0))) +(define-public r-lea + (package + (name "r-lea") + (version "3.12.2") + (source (origin + (method url-fetch) + (uri (bioconductor-uri "LEA" version)) + (sha256 + (base32 + "1kxrrl8pxhaipmzsw8gs4gs8g8xbp8169z9f7bcpgrfapnawafm9")))) + (properties `((upstream-name . "LEA"))) + (build-system r-build-system) + (native-inputs (list r-knitr)) + (home-page "http://membres-timc.imag.fr/Olivier.Francois/LEA/index.htm") + (synopsis + "R package for landscape and ecological association studies") + (description + "LEA is an R package dedicated to population genomics, landscape genomics +and genotype-environment association tests. LEA can run analyses of +population structure and genome-wide tests for local adaptation, and also +performs imputation of missing genotypes. The package includes statistical +methods for estimating ancestry coefficients from large genotypic matrices and +for evaluating the number of ancestral populations (snmf). It performs +statistical tests using latent factor mixed models for identifying genetic +polymorphisms that exhibit association with environmental gradients or +phenotypic traits (lfmm2). In addition, LEA computes values of genetic offset +statistics based on new or predicted environments (@code{genetic.gap}, +@code{genetic.offset}). LEA is mainly based on optimized programs that can +scale with the dimensions of large data sets.") + (license license:gpl3))) + (define-public r-lfa (package (name "r-lfa") |