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| -rw-r--r-- | gnu/packages/bioconductor.scm | 28 |
1 files changed, 28 insertions, 0 deletions
diff --git a/gnu/packages/bioconductor.scm b/gnu/packages/bioconductor.scm index c8a15c5123..c7d759d15b 100644 --- a/gnu/packages/bioconductor.scm +++ b/gnu/packages/bioconductor.scm @@ -2536,6 +2536,34 @@ Carlo) techniques and a DTU test is performed via a multivariate Wald test on the posterior densities for the average relative abundance of transcripts.") (license license:gpl3+))) +(define-public r-banocc + (package + (name "r-banocc") + (version "1.20.0") + (source (origin + (method url-fetch) + (uri (bioconductor-uri "banocc" version)) + (sha256 + (base32 + "10vaggq1w5jkxd8r2k1mhymzvb7x3h8afwn2pvmcpj022ka7xhbx")))) + (properties `((upstream-name . "banocc"))) + (build-system r-build-system) + (propagated-inputs + (list r-coda + r-mvtnorm + r-rstan + r-stringr)) + (native-inputs (list r-knitr)) + (home-page "https://bioconductor.org/packages/banocc") + (synopsis "Bayesian analysis of compositional covariance") + (description + "BAnOCC is a package designed for compositional data, where each sample +sums to one. It infers the approximate covariance of the unconstrained data +using a Bayesian model coded with @code{rstan}. It provides as output the +@code{stanfit} object as well as posterior median and credible interval +estimates for each correlation element.") + (license license:expat))) + (define-public r-biocversion (package (name "r-biocversion") |