bnclassify

Learning Discrete Bayesian Network Classifiers from Data

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.

Total

18,542

Last month

757

Last week

209

Average per day

25

Daily downloads

Total downloads

Description file content

Package
bnclassify
Title
Learning Discrete Bayesian Network Classifiers from Data
Description
State-of-the art algorithms for learning discrete Bayesian network classifiers from data, including a number of those described in Bielza & Larranaga (2014) , with functions for prediction, model evaluation and inspection.
Version
0.4.3
URL
BugReports
http://github.com/bmihaljevic/bnclassify/issues
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
License
GPL (>= 2)
Maintainer
Mihaljevic Bojan
VignetteBuilder
knitr
RoxygenNote
6.1.1
LinkingTo
Rcpp, BH
SystemRequirements
C++11
NeedsCompilation
yes
Packaged
2019-11-28 16:39:35 UTC; bmihaljevic
Author
Mihaljevic Bojan [aut, cre], Bielza Concha [aut], Larranaga Pedro [aut], Wickham Hadley [ctb] (some code extracted from memoise package)
Repository
CRAN
Date/Publication
2019-11-30 01:20:05 UTC

install.packages('bnclassify')

0.4.3

15 days ago

http://github.com/bmihaljevic/bnclassify

Mihaljevic Bojan

GPL (>= 2)

Depends on

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

Discussions