CRAN/E | bnclassify

bnclassify

Learning Discrete Bayesian Network Classifiers from Data

Installation

About

State-of-the art algorithms for learning discrete Bayesian network classifiers from data, including a number of those described in Bielza & Larranaga (2014) doi:10.1145/2576868, with functions for prediction, model evaluation and inspection.

Citation bnclassify citation info
github.com/bmihaljevic/bnclassify
System requirements C++11
Bug report File report

Key Metrics

Version 0.4.7
R ≥ 3.2.0
Published 2022-11-16 527 days ago
Needs compilation? yes
License GPL-2
License GPL-3
CRAN checks bnclassify results

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Maintainer

Maintainer

Mihaljevic Bojan

boki.mihaljevic@gmail.com

Authors

Mihaljevic Bojan

aut / cre

Bielza Concha

aut

Larranaga Pedro

aut

Wickham Hadley

ctb

(some code extracted from memoise package)

Material

README
NEWS
Reference manual
Package source

In Views

GraphicalModels

Vignettes

methods
overview
usage

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

bnclassify archive

Depends

R ≥ 3.2.0

Imports

assertthat ≥ 0.1
entropy ≥ 1.2.0
matrixStats ≥0.14.0
rpart ≥ 4.1-8
Rcpp

Suggests

graph ≥ 1.42.0
gRain ≥ 1.2-3
gRbase ≥ 1.7-0.1
mlr ≥2.2
testthat ≥ 0.8.1
knitr ≥ 1.10.5
ParamHelpers ≥1.5
Rgraphviz ≥ 2.8.1
rmarkdown ≥ 0.7
mlbench
covr

LinkingTo

Rcpp
BH

Reverse Imports

dplbnDE