| bnclassify-package | Learn discrete Bayesian network classifiers from data. |
| accuracy | Compute predictive accuracy. |
| AIC.bnc_bn | Compute (penalized) log-likelihood. |
| aode | Learn an AODE ensemble. |
| as_grain | Convert to igraph and gRain. |
| as_igraph | Convert to igraph 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 igraph 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. |