@@ -6533,6 +6533,57 @@ (define-public r-limma
different technologies, including microarrays, RNA-seq, and quantitative PCR.")
(license license:gpl2+)))
+(define-public r-maaslin2
+ (package
+ (name "r-maaslin2")
+ (version "1.12.0")
+ (source
+ (origin
+ (method url-fetch)
+ (uri (bioconductor-uri "Maaslin2" version))
+ (sha256
+ (base32 "0ncvsywn9f8766gjb8nxzg82p3w30g8pjs85sy8s0bz9ilanpy89"))))
+ (properties `((upstream-name . "Maaslin2")))
+ (build-system r-build-system)
+ (arguments (list #:tests? #f)) ;test suite is non-deterministic :(
+ (propagated-inputs
+ (list r-biglm
+ r-car
+ r-chemometrics
+ r-cplm
+ r-data-table
+ r-dplyr
+ r-edger
+ r-ggplot2
+ r-glmmtmb
+ r-hash
+ r-lme4
+ r-lmertest
+ r-logging
+ r-lpsymphony
+ r-mass
+ r-mumin
+ r-metagenomeseq
+ r-optparse
+ r-pbapply
+ r-pcapp
+ r-pheatmap
+ r-pscl
+ r-rmarkdown
+ r-robustbase
+ r-vegan))
+ (native-inputs (list r-knitr))
+ (home-page "http://huttenhower.sph.harvard.edu/maaslin2")
+ (synopsis
+ "Multivariable association discovery in population-scale meta-omics studies")
+ (description
+ "MaAsLin2 is comprehensive R package for efficiently determining multivariable
+association between clinical metadata and microbial meta'omic features. This
+package relies on general linear models to accommodate most modern epidemiological
+study designs, including cross-sectional and longitudinal, and offers a variety
+of data exploration, normalization, and transformation methods.")
+ (license license:expat)))
+
(define-public r-made4
(package
(name "r-made4")