# Learning Discrete Bayesian Network Classifiers from Data

## Documentation for package ‘bnclassify’ version 0.4.5

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

accuracy | Compute predictive accuracy.
AIC.bnc_bn | Compute (penalized) log-likelihood.
aode | Learn an AODE ensemble.
as_grain | Convert to graph and gRain.
as_graphNEL | Convert to graph and gRain.
as_mlr | Convert to 'mlr'.
awnb_weights | Inspect a Bayesian network classifier (with structure and parameters).
BIC.bnc_bn | Compute (penalized) log-likelihood.
bnc | Learn network structure and parameters.
bnclassify | Learn discrete Bayesian network classifiers from data.
bnc_bn | Bayesian network classifier with structure and parameters.
bnc_dag | Bayesian network classifier structure.
bsej | Learn Bayesian network classifiers in a a greedy wrapper fashion.
car | Car Evaluation Data Set.
classes | Inspect a Bayesian network classifier (with structure and parameters).
class_var | Inspect a Bayesian network classifier structure.
cLogLik | Compute (penalized) log-likelihood.
cmi | Compute the (conditional) mutual information between two variables.
cv | Estimate predictive accuracy with stratified cross validation.
families | Inspect a Bayesian network classifier structure.
features | Inspect a Bayesian network classifier structure.
feature_families | Inspect a Bayesian network classifier structure.
fssj | Learn Bayesian network classifiers in a a greedy wrapper fashion.
grain_and_graph | Convert to graph and gRain.
greedy_wrapper | Learn Bayesian network classifiers in a a greedy wrapper fashion.
inspect_bnc_bn | Inspect a Bayesian network classifier (with structure and parameters).
inspect_bnc_dag | Inspect a Bayesian network classifier structure.
is_anb | Inspect a Bayesian network classifier structure.
is_nb | Inspect a Bayesian network classifier structure.
is_ode | Inspect a Bayesian network classifier structure.
is_semi_naive | Inspect a Bayesian network classifier structure.
kdb | Learn Bayesian network classifiers in a a greedy wrapper fashion.
learn_params | Learn the parameters of a Bayesian network structure.
loglik | Compute (penalized) log-likelihood.
logLik.bnc_bn | Compute (penalized) log-likelihood.
lp | Learn the parameters of a Bayesian network structure.
manb_arc_posterior | Inspect a Bayesian network classifier (with structure and parameters).
modelstring | Inspect a Bayesian network classifier structure.
narcs | Inspect a Bayesian network classifier structure.
nb | Learn a naive Bayes network structure.
nparams | Inspect a Bayesian network classifier (with structure and parameters).
params | Inspect a Bayesian network classifier (with structure and parameters).
plot.bnc_dag | Plot the structure.
predict.bnc_fit | Predicts class labels or class posterior probability distributions.
tan_chowliu | Learns a one-dependence estimator using Chow-Liu's algorithm.
tan_cl | Learns a one-dependence estimator using Chow-Liu's algorithm.
tan_hc | Learn Bayesian network classifiers in a a greedy wrapper fashion.
tan_hcsp | Learn Bayesian network classifiers in a a greedy wrapper fashion.
values | Inspect a Bayesian network classifier (with structure and parameters).
vars | Inspect a Bayesian network classifier structure.
voting | Congress Voting Data Set.