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.

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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
0.4.0
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), covr
License
GPL (>= 2)
Maintainer
Mihaljevic Bojan
VignetteBuilder
knitr
RoxygenNote
6.0.1
LinkingTo
Rcpp, BH
SystemRequirements
C++11
NeedsCompilation
yes
Packaged
2018-05-08 12:47:58 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
2018-05-08 13:51:25 UTC

install.packages('bnclassify')

0.4.0

a month 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), covr

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