The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

BiasedMatch: Biased Matching for Two-Urn Sampling Problems

Tools for the two-urn biased sampling problems of Puza and Bonfrer (2018) <doi:10.1080/03610926.2017.1300282>. Two overlapping sets of items are sampled without replacement, with items common to both sets given a selection weight favouring their inclusion. The package computes the probability mass function, mean and variance of the number of matching items using the univariate and bivariate Wallenius' non-central hypergeometric distributions, performs maximum likelihood and Bayesian inference for the bias parameter, and provides Metropolis-Hastings algorithms for hierarchical extensions.

Version: 0.1.0
Depends: R (≥ 3.5.0)
Imports: BiasedUrn, mvtnorm, nortest, EnvStats, coda, stats, utils
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2026-10-21
DOI: 10.32614/CRAN.package.BiasedMatch (may not be active yet)
Author: Andre Bonfrer ORCID iD [aut, cre], Borek Puza [aut]
Maintainer: Andre Bonfrer <andre.bonfrer at deakin.edu.au>
BugReports: https://github.com/andrebonfrer/BiasedMatch/issues
License: MIT + file LICENSE
URL: https://github.com/andrebonfrer/BiasedMatch
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: BiasedMatch results

Documentation:

Reference manual: BiasedMatch.html , BiasedMatch.pdf
Vignettes: Biased matching in two-urn sampling problems (source, R code)

Downloads:

Package source: BiasedMatch_0.1.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): BiasedMatch_0.1.0.tgz, r-oldrel (arm64): BiasedMatch_0.1.0.tgz, r-release (x86_64): BiasedMatch_0.1.0.tgz, r-oldrel (x86_64): BiasedMatch_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=BiasedMatch to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.