barry-package: barry: 'C++' Headers for the 'barry' Library
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barry-package R Documentation
barry: 'C++' Headers for the 'barry' Library
Description
Provides 'C++' header-only files for the 'barry' library, which is a template
library for counting sufficient statistics on binary arrays and building
discrete exponential-family models. The 'barry' library includes tools for
sparse arrays, user-defined count statistics, support set constraints,
power set generation, and modules for Discrete Exponential Family Models
(DEFMs) and network statistics.
Details
This package follows the same approach as the 'BH' package which provides
'Boost' headers for R. To use 'barry' in your R package, add LinkingTo: barry
to your DESCRIPTION file. The headers will then be available for inclusion
in your 'C++' code via #include <barry/barry.hpp>.
The 'barry' library was created by Dr. George G. Vega Yon as part of his
doctoral dissertation and provides a general framework for building discrete
exponential-family models, particularly useful for Exponential Random Graph
Models (ERGMs) and other network statistics.
Author(s)
Maintainer: George Vega Yon g.vegayon@gmail.com (ORCID)
Other contributors:
U.S. Army Medical Research Acquisition Activity (ORION project, Award #W81XWH1910615) [funder]
National Cancer Institute (IMAGE project, Grant #1P01CA196596) [funder]
See Also
Useful links:
barry documentation built on July 23, 2026, 1:07 a.m.
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| barry-package | R Documentation |
barry: 'C++' Headers for the 'barry' Library
Description
Provides 'C++' header-only files for the 'barry' library, which is a template library for counting sufficient statistics on binary arrays and building discrete exponential-family models. The 'barry' library includes tools for sparse arrays, user-defined count statistics, support set constraints, power set generation, and modules for Discrete Exponential Family Models (DEFMs) and network statistics.
Details
This package follows the same approach as the 'BH' package which provides
'Boost' headers for R. To use 'barry' in your R package, add LinkingTo: barry
to your DESCRIPTION file. The headers will then be available for inclusion
in your 'C++' code via #include <barry/barry.hpp>.
The 'barry' library was created by Dr. George G. Vega Yon as part of his doctoral dissertation and provides a general framework for building discrete exponential-family models, particularly useful for Exponential Random Graph Models (ERGMs) and other network statistics.
Author(s)
Maintainer: George Vega Yon g.vegayon@gmail.com (ORCID)
Other contributors:
U.S. Army Medical Research Acquisition Activity (ORION project, Award #W81XWH1910615) [funder]
National Cancer Institute (IMAGE project, Grant #1P01CA196596) [funder]
See Also
Useful links:
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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