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DESCRIPTION
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DESCRIPTION
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Package: brs
Type: Package
Title: Bayesian Rule Set
Version: 0.0.0.9007
Authors@R: c(
person("Albert", "Chiu", email = "altchiu@stanford.edu", role = c("aut", "cre")),
person("Yiqing", "Xu", email = "yiqingxu@stanford.edu", role = "aut"),
person("Tong", "Wang", email = "tong-wang@uiowa.edu", role = "aut"))
Description: R package for implementing Bayesian Rule Set (BRS), a method introduced by Wang et al. (2017), as well as graphical tools introduced in Chiu and Xu (2023). BRS is an interpretable machine learning algorithm that
uses rule sets to classify data. This package also allows users
to create bar plots, t-SNE plots, and chord diagrams to help
visualize the results of BRS.
Imports:
reticulate,
circlize,
Rtsne,
ggplot2,
dplyr,
magrittr,
gtools
SystemRequirements:
License: GLP-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.2
Depends:
R (>= 2.10)
Suggests:
knitr,
rmarkdown
VignetteBuilder: knitr