Bayesian Network Learning with the PCHC and Related Algorithms

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Documentation for package ‘pchc’ version 0.4

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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 FBED variable selection method using the correlation
correls Correlation between a vector and a set of variables
cortest Correlation significance testing using Fisher's z-transformation
fedhc The FEDHC Bayesian network learning algorithm
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
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 Bayesian network learning algorithm
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 Max-Min Parents and Children variable selection algorithm for continuous responses
pc.sel Variable selection using the PC-simple algorithm
pchc The PCHC Bayesian network learning algorithm
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
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