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 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 |