Learning Discrete Bayesian Network Classifiers from Data

accuracy | Compute predictive accuracy. |

are_factors | Checks if all columns in a data frame are factors. |

are_pdists | Returns 'TRUE' is 'x' is a valid probability distribution. |

as_mlr | Convert to 'mlr'. |

augment_ode | Arcs that do not invalidate the tree-like structure |

augment_ode_arcs | Returns augmenting arcs that do not invalidate the ODE. |

bnc | Learn network structure and parameters. |

bnc_bn | Bayesian network classifier with structure and parameters. |

bnc_dag | Bayesian network classifier structure. |

bnclassify | Learn discrete Bayesian network classifiers from data. |

bootstrap_ss | Return a bootstrap sub-sample. |

car | Car Evaluation Data Set. |

check_mlr_attached | Checks if mlr attached. |

cmi | Compute the (conditional) mutual information between two... |

cmi_table | Returns the conditional mutual information three variables. |

complete_graph | Returns a complete unweighted graph with the given nodes. |

compute_anb_log_joint_per_class | Computes the log joint probability of the observed features... |

compute_cll | Computes the conditional log-likelihood of the model on the... |

compute_ll | Computes log-likelihood of the model on the provided data. |

compute_wanbia_weights | Compute WANBIA weights. Computes feature weights by... |

cpt_vars_values | Get just form first dimension in their own cpt, not checking... |

cv | Estimate predictive accuracy with stratified cross... |

direct_forest | Direct an undirected graph. |

direct_tree | Direct an undirected graph. |

extract_ctgt | Returns a contingency table over the variables. |

fast_equal | Compares all elements in a to b |

forget | Forget a memoized function. |

get_ancestors | Based on gRbase::ancestors() |

get_but_last | Return all but last element of x. |

get_last | Return last element of x. |

get_null_safe | Get i-th element of x. |

grain_and_graph | Convert to graph and gRain. |

graph_union | Merges multiple disjoint graphs into a single one. |

greedy_wrapper | Learn Bayesian network classifiers in a a greedy wrapper... |

identify_all_testing_depths | Identifies all depths at which the features of a... |

identify_min_testing_depths | Identifies the lowest (closest to root) depths at which the... |

inspect_bnc_bn | Inspect a Bayesian network classifier (with structure and... |

inspect_bnc_dag | Inspect a Bayesian network classifier structure. |

is.memoised | Is it memoized? |

learn_params | Learn the parameters of a Bayesian network structure. |

learn_unprunned_tree | Learns a unpruned 'rpart' recursive partition. |

local_ode_score_contrib | Returns pairwise component of ODE (penalized) log-likelihood... |

loglik | Compute (penalized) log-likelihood. |

log_normalize | Normalize log probabilities. |

make_cll | Returns a function to compute negative conditional... |

make_cll_gradient | Returns a function to compute the gradient of negative... |

makeRLearner.bnc | makeRLearner. Auxiliary mlr function. |

map | Assigns instances to the most likely class. |

max_weight_forest | Returns the undirected augmenting forest. |

memoise_char | Memoise a function. |

named_edge_matrix | Returns an edge matrix with node names (instead of node... |

nb | Learn a naive Bayes network structure. |

nb_dag | Returns a naive Bayes structure |

new_cache | Make a new cache. |

order_acyclic | Provide an acyclic ordering (i.e., a topological sort). |

plot.bnc_dag | Plot the structure. |

predict.bnc_bn | Predicts class labels or class posterior probability... |

predictLearner.bnc | predictLearner. Auxiliary mlr function. |

print.bnc_dag | Print basic information about a classifier. |

subset_by_colnames | Subset a 2D structure by a vector of column names. |

superparent_children | Return nodes which can be superparents along with their... |

tan_chowliu | Learns a one-dependence estimator using Chow-Liu's algorithm. |

trainLearner.bnc | trainLearner. Auxiliary mlr function. |

voting | Congress Voting Data Set. |

x2cpt_inds | Maps observations of x to cpt indices. Replicates the indices... |

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