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

Documentation:

Reference manual:

RSarules.pdf

Downloads:

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 (arm64): RSarules_1.0.tgz, r-oldrel (arm64): RSarules_1.0.tgz, r-release (x86_64): RSarules_1.0.tgz, r-oldrel (x86_64): RSarules_1.0.tgz

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