@@ -1987,6 +1987,52 @@ (define-public r-agimicrorna
objects are used so that other packages could be used as well.")
(license license:gpl3)))
+(define-public r-ancombc
+ (package
+ (name "r-ancombc")
+ (version "1.6.1")
+ (source (origin
+ (method url-fetch)
+ (uri (bioconductor-uri "ANCOMBC" version))
+ (sha256
+ (base32
+ "1p9yryv85qk7m3hbflmpdffd3azpsifcw54x1rp8sb67yjmq3whq"))))
+ (properties `((upstream-name . "ANCOMBC")))
+ (build-system r-build-system)
+ (propagated-inputs
+ (list r-desctools
+ r-doparallel
+ r-dorng
+ r-dplyr
+ r-energy
+ r-foreach
+ r-hmisc
+ r-magrittr
+ r-mass
+ r-microbiome
+ r-nlme
+ r-nloptr
+ r-phyloseq
+ r-rdpack
+ r-rlang
+ r-tibble
+ r-tidyr))
+ (native-inputs (list r-knitr))
+ (home-page "https://github.com/FrederickHuangLin/ANCOMBC")
+ (synopsis "Analysis of compositions of microbiomes with bias correction")
+ (description
+ "@code{ANCOMBC} is a package containing @dfn{DA} (differential abundance)
+and correlation analyses for microbiome data. Specifically, the package includes
+@dfn{ANCOM-BC} (Analysis of Compositions of Microbiomes with Bias Correction) and
+@dfn{ANCOM} (Analysis of Composition of Microbiomes) for DA analysis, and
+@dfn{SECOM} (Sparse Estimation of Correlations among Microbiomes) for correlation
+analysis. Microbiome data are typically subject to two sources of biases:
+unequal sampling fractions (sample-specific biases) and differential sequencing
+efficiencies (taxon-specific biases). Methodologies included in the @code{ANCOMBC}
+package were designed to correct these biases and construct statistically
+consistent estimators.")
+ (license license:artistic2.0)))
+
(define-public r-aneufinder
(package
(name "r-aneufinder")