gnu: Add r-ancombc.
* gnu/packages/bioconductor.scm (r-ancombc): New variable.
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		|  | @ -2284,6 +2284,52 @@ of Medical Research.  The goal is to provide a standard library for quantitative | |||
| analysis, modelling, and visualization of spike-in controls.") | ||||
|     (license license:bsd-3))) | ||||
| 
 | ||||
| (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{differential abundance} (DA) | ||||
| and correlation analyses for microbiome data.  Specifically, the package | ||||
| includes @dfn{Analysis of Compositions of Microbiomes with Bias | ||||
| Correction}(ANCOM-BC) and @dfn{Analysis of Composition of Microbiomes} (ANCOM) | ||||
| for DA analysis, and @dfn{Sparse Estimation of Correlations among | ||||
| Microbiomes} (SECOM) 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-aldex2 | ||||
|   (package | ||||
|     (name "r-aldex2") | ||||
|  |  | |||
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