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gnu: Add r-gunifrac.

* gnu/packages/cran.scm (r-gunifrac): New variable.
Mădălin Ionel Patrașcu 2022-12-07 06:18:34 +01:00 committed by Ricardo Wurmus
parent 48e6e67990
commit 5154e76a2e
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@ -667,6 +667,56 @@ from CRAN, but also from Bioconductor or even arbitrary git or mercurial
repositories, replacing the need for installation via @code{devtools}.")
(license license:gpl3+)))
(define-public r-gunifrac
(package
(name "r-gunifrac")
(version "1.7")
(source (origin
(method url-fetch)
(uri (cran-uri "GUniFrac" version))
(sha256
(base32
"13qb5fw9km6p5x8li9x3liqbh833wf2v73npj8jl3msplzfk82vp"))))
(properties `((upstream-name . "GUniFrac")))
(build-system r-build-system)
(propagated-inputs
(list r-ape
r-dirmult
r-foreach
r-ggplot2
r-ggrepel
r-mass
r-matrix
r-matrixstats
r-modeest
r-rcpp
r-rmutil
r-statmod
r-vegan))
(native-inputs (list r-knitr))
(home-page "https://cran.r-project.org/package=GUniFrac")
(synopsis
"Generalized UniFrac distances and methods for microbiome data analysis")
(description
"This package provides a suite of methods for powerful and robust
microbiome data analysis, including data normalization, data simulation,
community-level association testing and differential abundance analysis. It
implements generalized UniFrac distances, @dfn{Geometric Mean of Pairwise
Ratios} (GMPR) normalization, semiparametric data simulator, distance-based
statistical methods, and feature- based statistical methods. The
distance-based statistical methods include three extensions of PERMANOVA:
@itemize
@item PERMANOVA using the Freedman-Lane permutation scheme,
@item PERMANOVA omnibus test using multiple matrices, and
@item analytical approach to approximating PERMANOVA p-value.
@end itemize
Feature-based statistical methods include linear model-based methods for
differential abundance analysis of zero-inflated high-dimensional
compositional data.")
(license license:gpl3)))
(define-public r-ids
(package
(name "r-ids")