Man pages for gherardovarando/Rbnet
Define and Manage Bayesian Networks
| add_arc.bnet | add arc to a bnet object |
| add_nodes.bnet | add nodes to a bnet object |
| adj_matrix.bnet | adjacency matrix for a bnet object |
| AIC.bnet | AIC of bnet |
| arcs | Arcs of an object |
| arcs.bnet | Arcs of an object |
| ARE | ARE function |
| as.bnet | Convert object to bnet |
| as.COSA.bnet | Convert bnet into list of nodes and arcs |
| BIC.bnet | BIC of bnet |
| bnetPar | Set fitting parameters |
| bnet_to_bn | Convert a bnet object to bnlearn object |
| bn_to_bnet | Convert a bnlearn object to bnet object |
| child.bnet | child of selected nodes in a bnet object |
| classifier_bnet | Multinet classifier using bnet |
| clear_evidence.bnet | remove all evidence from a bnet object |
| compute_marginal.bnet | Marginal Computation |
| create_folds | create folds for validation |
| delete_arc.bnet | delete arc from a bnet object |
| delete_node.bnet | delete node (one!) from a bnet object |
| densplot.bnetClassifier | Plot various densities for bnet classifier |
| dim.bnet | Dimension of a bnet object |
| discriminative.bnet | Discriminative model |
| fit.bnet | Fit a bnet object |
| hillClimb.bnet | Hill-Climbing structure search |
| is.acyclic | check if an object fullfil the acyclic property |
| is.acyclic.bnet | isacyclic bnet |
| is.bnet | Check if an object is a bnet object |
| is.fitted.bnet | check if a bnet is fitted |
| marginal.bnet | Return marginal x,y to plot |
| markovblanket.bnet | Markov blanket of a bnet object |
| MSE | MSE function |
| naive_bayes.bnet | Naive Bayes model or BAN model |
| new_bnet | New bnet object |
| onevsall_bnet | Classifier One vs All |
| orden.bnet | Bnet variables ordering |
| plot.bnet | Plot a bnet object |
| plot.bnetClassifier | Plot a bnet classifier |
| predict.bnet | predict posterior values for a bnet object |
| predict.bnetClassifier | prediction of 'classifier_bnet' object |
| predict.onevsall_bnet | predict function for onevsall_bnet object |
| print.bnet | Print a bnet object |
| probability.bnet | compute probability for a bnet |
| put_evidence.bnet | put evidence on a bnet object |
| Rbnet-package | Define and Manage Bayesian Networks |
| summary.bnet | Summary of a bnet object |
| validation | validate regression bnet models |
| variables | Variables of an object |
| variables.bnet | variables bnet |
| variables.bnetClassifier | variables for bnetClassifier |
| wrapper | wrapper greedy search for structure |
| zero_one_accuracy | zero one accuracy |
