Package: barry
Type: Package
Title: Your Go-to Motif Accountant
Version: 0.2.1
Depends: R (>= 4.1.0)
Authors@R: c(
  person(given="George", family="Vega Yon", role=c("aut", "cre"),
  email="g.vegayon@gmail.com", comment = c(ORCID = "0000-0002-3171-0844")),
  person("U.S. Army Medical Research Acquisition Activity", role = "fnd",
  comment = "ORION project, Award #W81XWH1910615"),
  person("National Cancer Institute", role = "fnd",
  comment = "IMAGE project, Grant #1P01CA196596")
  )
Description: Provides the 'C++' header-only library 'barry' for use in
        R packages. 'barry' is a 'C++' template library for counting
        sufficient statistics on binary arrays and building discrete
        exponential-family models. It provides tools for sparse arrays,
        user-defined count statistics, support set constraints, power
        set generation, and includes modules for Discrete Exponential
        Family Models (DEFMs) and network statistics. By placing these
        headers in this package, we offer an efficient distribution
        system for CRAN as replication of this code in the sources of
        other packages is avoided. This package follows the same
        approach as the 'BH' package which provides 'Boost' headers for
        R packages.
URL: https://github.com/USCbiostats/barryr,
        https://uscbiostats.github.io/barryr/
BugReports: https://github.com/USCbiostats/barryr/issues
License: MIT + file LICENSE
RoxygenNote: 7.3.3
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
Repository: https://uscbiostats.r-universe.dev
Date/Publication: 2025-12-09 06:54:12 UTC
RemoteUrl: https://github.com/uscbiostats/barryr
RemoteRef: HEAD
RemoteSha: 45b94433ff0b3266ef224ded69944f6018b5e9c0
NeedsCompilation: no
Packaged: 2026-06-07 08:16:31 UTC; root
Author: George Vega Yon [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-3171-0844>),
  U.S. Army Medical Research Acquisition Activity [fnd] (ORION project,
    Award #W81XWH1910615),
  National Cancer Institute [fnd] (IMAGE project, Grant #1P01CA196596)
Maintainer: George Vega Yon <g.vegayon@gmail.com>