Paralellised Versions of Constraint Based Causal Discovery Algorithms

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Documentation for package ‘ParallelPC’ version 1.2

• DESCRIPTION file.

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cor2	The Pearson's correlation test
fci_parallel	Estimate a Partial Ancestral Graph using the FCI_parallel algorithm
fci_stable	Estimate a PAG, using the FCI_stable algorithm
IDA_parallel	Estimate Total Causal Effects using the IDA_parallel Algorithm
IDA_stable	Estimate Total Causal Effects
jointIDA_direct	Estimate Total Causal Effects of Joint Interventions
jointIDA_parallel	Estimate Total Causal Effects of Joint Interventions
mccor	The Monte Carlo permutation test (mc-cor)
mcmig	The Monte Carlo permutation test (mc-mi-g)
mczf	The Monte Carlo permutation test for Gaussian conditional independence test
mig	Mutual information test
migsh	Shrinkage estimator for the mutual information (mi-g-sh)
pcSelect_parallel	Estimate subgraph around a response variable using pcSelect_parallel.
pcSelect_stable	Estimate subgraph around a response variable using pcSelect
pc_parallel	Estimate the Equivalence Class of a DAG using the PC_parallel Algorithm
pc_stable	Estimate the Equivalence Class of a DAG using the PC_stable Algorithm
rfci_parallel	Estimate a PAG fast using the RFCI_parallel Algorithm
rfci_stable	Estimate a PAG using the RFCI_stable Algorithm
skeleton_parallel	Estimate (Initial) Skeleton of a DAG.
skeleton_stable	Estimate (Initial) Skeleton of a DAG using the PC_stable Algorithm
smccor	The sequential Monte Carlo permutation test (smc-cor)
smcmig	The sequential Monte Carlo permutation test (smc-mi-g)
smczf	The sequential Monte Carlo permutation test for Gaussian conditional independence test.
zf	Gaussian conditional independence test