Package: banocc
Type: Package
Title: Bayesian ANalysis Of Compositional Covariance
Version: 1.28.0
Date: 2022-04-20
Authors@R: c(person("Emma", "Schwager", email =
        "emh146@mail.harvard.edu", role = c("aut", "cre")),
        person("Curtis", "Huttenhower",email = "chuttenh@hsph.harvard.edu",  role = "aut"))
Maintainer: George Weingart <george.weingart@gmail.com>,
 Curtis Huttenhower <chuttenh@hsph.harvard.edu>
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
        `rstan`. It provides as output the `stanfit` object as well as
        posterior median and credible interval estimates for each
        correlation element.
License: MIT + file LICENSE
Depends: R (>= 3.5.1), rstan (>= 2.17.4)
Imports: coda (>= 0.18.1), mvtnorm, stringr
Suggests: knitr, rmarkdown, methods, testthat, BiocStyle
VignetteBuilder: knitr
RoxygenNote: 5.0.1
biocViews: ImmunoOncology, Metagenomics, Software, Bayesian
git_url: https://git.bioconductor.org/packages/banocc
git_branch: RELEASE_3_19
git_last_commit: 12c9e57
git_last_commit_date: 2024-04-30
Repository: Bioconductor 3.19
Date/Publication: 2024-05-01
NeedsCompilation: no
Packaged: 2024-05-01 21:13:12 UTC; biocbuild
Author: Emma Schwager [aut, cre],
  Curtis Huttenhower [aut]
Built: R 4.4.0; ; 2024-05-02 12:27:22 UTC; windows
