R: Bayesian Network Learning with the PCHC and Related Algorithms

# Bayesian Network Learning with the PCHC and Related Algorithms

## Documentation for package ‘pchc’ version 1.4

- DESCRIPTION file

## Help Pages

pchc-package | Bayesian Network Learning with the PCHC and Related Algorithms
auc | ROC and AUC
big_cor | Correlation matrix for FBM class matrices (big matrices)
big_read | Read big data or a big.matrix object
bn.skel.utils | Utilities for the skeleton of a (Bayesian) Network
bn.skel.utils2 | Utilities for the skeleton of a (Bayesian) Network
bnmat | Adjacency matrix of a Bayesian network
bnplot | Plot of a Bayesian network
cat.tests | Chi-square and G-square tests of (unconditional) indepdence
chi2test | G-square test of conditional indepdence
chi2test_univariate | All pairwise G-square and chi-square tests of indepedence
conf.edge.lower | Lower limit of the confidence of an edge
cor.fbed | Variable selection for continuous data using the FBED algorithm
cor2pcor | Partial correlation matrix from correlation or covariance matrix
corpairs | Correlation between pairs of variables
correls | Correlation between a vector and a set of variables
cortest | Correlation significance testing using Fisher's z-transformation
dcor.fedhc.skel | The skeleton of a Bayesian network produced by the MMHC or the FEDHC algorithm using the distance correlation
dcor.mmhc.skel | The skeleton of a Bayesian network produced by the MMHC or the FEDHC algorithm using the distance correlation
fedhc | The FEDHC and FEDTABU Bayesian network learning algorithms
fedhc.boot | Bootstrapping the FEDHC and FEDTABU Bayesian network learning algorithms
fedhc.skel | The skeleton of a Bayesian network produced by the FEDHC algorithm
fedhc.skel.boot | Bootstrap versions of the skeleton of a Bayesian network
fedtabu | The FEDHC and FEDTABU Bayesian network learning algorithms
fedtabu.boot | Bootstrapping the FEDHC and FEDTABU Bayesian network learning algorithms
g2test | G-square test of conditional indepdence
g2test_perm | G-square test of conditional indepdence
g2test_univariate | All pairwise G-square and chi-square tests of indepedence
g2test_univariate_perm | 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 algorithms
mmhc.skel | The skeleton of a Bayesian network learned with the MMHC algorithm
mmhc.skel.boot | Bootstrap versions of the skeleton of a Bayesian network
mmpc | Variable selection for continuous data using the MMPC algorithm
mmtabu | The MMHC and MMTABU Bayesian network learning algorithms
mmtabu.boot | Bootstrapping the MMHC and MMTABU Bayesian network learning algorithms
pc.sel | Variable selection for continuous data using the PC-simple algorithm
pchc | The PCHC and PCTABU Bayesian network learning algorithms
pchc.boot | Bootstrapping the PCHC and PCTABU Bayesian network learning algorithms
pchc.skel | The skeleton of a Bayesian network learned with the PC algorithm
pchc.skel.boot | Bootstrap versions of the skeleton of a Bayesian network
pcor | Partial correlation
pctabu | The PCHC and PCTABU Bayesian network learning algorithms
pctabu.boot | Bootstrapping the PCHC and PCTABU Bayesian network learning algorithms
pi0est | Estimation of the percentage of null p-values
rbn | Random values simulation from a Bayesian network
rbn2 | Continuous data simulation from a DAG.
rbn3 | Continuous data simulation from a DAG.
rmcd | Outliers free data via the reweighted MCD
topological_sort | Topological sort of a Bayesian network