RSarules: Random Sampling Association Rules from a Transaction Dataset

Implements the Gibbs sampling algorithm to randomly sample association rules with one pre-chosen item as the consequent from a transaction dataset. The Gibbs sampling algorithm was proposed in G. Qian, C.R. Rao, X. Sun and Y. Wu (2016) <doi:10.1073/pnas.1604553113>.

Version: 1.0
Depends: R (≥ 3.3.1), arules (≥ 1.4.1), Matrix (≥ 1.2.6)
Imports: methods, stats
Suggests: MultiOrd
Published: 2016-10-15
Author: Xiaoying Sun, Guoqi Qian and Yuehua Wu
Maintainer: Xiaoying Sun <sunying at mathstat.yorku.ca>
License: GPL-3
NeedsCompilation: no
CRAN checks: RSarules results

Downloads:

Reference manual: RSarules.pdf
Package source: RSarules_1.0.tar.gz
Windows binaries: r-devel: RSarules_1.0.zip, r-release: RSarules_1.0.zip, r-oldrel: RSarules_1.0.zip
macOS binaries: r-release: RSarules_1.0.tgz, r-oldrel: RSarules_1.0.tgz

Linking:

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