| auc | ROC and AUC |
| big_cor | Correlation matrix for FBM class matrices (big matrices) |
| big_read | Read big data or a big.matrix object |
| bnmat | Adjacency matrix of a Bayesian network |
| bnplot | Plot of a Bayesian network |
| bn.skel.utils | Utilities for the skeleton of a (Bayesian) Network |
| cat.tests | Chi-square and G-square tests of (unconditional) indepdence |
| conf.edge.lower | Lower limit of the confidence of an edge |
| cor2pcor | Partial correlation matrix from correlation or covariance... |
| cor.fbed | Variable selection for continuous data using the FBED... |
| corpairs | Correlation between pairs of variables |
| correls | Correlation between a vector and a set of variables |
| cortest | Correlation significance testing using Fisher's... |
| dcor.fedhc.skel | The skeleton of a Bayesian network produced by the MMHC or... |
| fedhc | The FEDHC and FEDTABU Bayesian network learning algorithms |
| fedhc.boot | Bootstrapping the FEDHC and FEDTABU Bayesian network learning... |
| fedhc.skel | The skeleton of a Bayesian network produced by the FEDHC... |
| g2test | G-square test of conditional indepdence |
| g2test_univariate | All pairwise G-square and chi-square tests of indepedence |
| is.dag | Check whether a directed graph is acyclic |
| mb | Markov blanket of a node in a Bayesian network |
| mmhc | The MMHC and MMTABU Bayesian network learning algorithms |
| mmhc.boot | Bootstrapping the MMHC and MMTABU Bayesian network learning... |
| mmhc.skel | The skeleton of a Bayesian network learned with the MMHC... |
| mmpc | Variable selection for continuous data using the MMPC... |
| pchc | The PCHC and PCTABU Bayesian network learning algorithms |
| pchc.boot | Bootstrapping the PCHC and PCTABU Bayesian network learning... |
| pchc-package | Bayesian Network Learning with the PCHC and Related... |
| pchc.skel | The skeleton of a Bayesian network learned with the PC... |
| pchc.skel.boot | Bootstrap versions of the skeleton of a Bayesian network |
| pcor | Partial correlation |
| pc.sel | Variable selection for continuous data using the PC-simple... |
| pi0est | Estimation of the percentage of null p-values |
| rbn | Random values simulation from a Bayesian network |
| rbn2 | Continuous data simulation from a DAG. |
| rmcd | Outliers free data via the reweighted MCD |
| topological_sort | Topological sort of a Bayesian network |
