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BiasedUrn  

Biased Urn Model Distributions
View on CRAN: Click here


Download and install BiasedUrn package within the R console
Install from CRAN:
install.packages("BiasedUrn")

Install from Github:
library("remotes")
install_github("cran/BiasedUrn")

Install by package version:
library("remotes")
install_version("BiasedUrn", "2.0.12")



Attach the package and use:
library("BiasedUrn")
Maintained by
Agner Fog
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2006-11-13
Latest Update: 2024-06-16
Description:
Statistical models of biased sampling in the form of univariate and multivariate noncentral hypergeometric distributions, including Wallenius' noncentral hypergeometric distribution and Fisher's noncentral hypergeometric distribution. See vignette("UrnTheory") for explanation of these distributions. Literature: Fog, A. (2008a). Calculation Methods for Wallenius' Noncentral Hypergeometric Distribution, Communications in Statistics, Simulation and Computation, 37(2) . Fog, A. (2008b). Sampling methods for Wallenius
How to cite:
Agner Fog (2006). BiasedUrn: Biased Urn Model Distributions. R package version 2.0.12, https://cran.r-project.org/web/packages/BiasedUrn. Accessed 04 Jun. 2026.
Previous versions and publish date:
1.00 (2006-11-13 10:26), 1.01 (2006-11-30 12:04), 1.02 (2007-06-16 20:17), 1.03 (2007-10-05 12:24), 1.04 (2011-08-07 10:08), 1.05 (2013-02-10 13:03), 1.06.1 (2013-12-29 09:44), 1.06 (2013-11-11 08:20), 1.07 (2015-12-28 09:01), 2.0.8 (2022-10-22 14:58), 2.0.9 (2023-02-01 11:30), 2.0.10 (2023-06-01 11:00), 2.0.11 (2023-08-19 12:22)
Other packages that cited BiasedUrn R package
View BiasedUrn citation profile
Other R packages that BiasedUrn depends, imports, suggests or enhances
Complete documentation for BiasedUrn
Functions, R codes and Examples using the BiasedUrn R package
Some associated functions: BiasedUrn-1-Package . BiasedUrn-2-Univariate . BiasedUrn-3-Multivariate . 
Some associated R codes: urn1.R . urn2.R .  Full BiasedUrn package functions and examples
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