Paralellised Versions of Constraint Based Causal Discovery Algorithms
The Pearson's correlation test
Estimate a Partial Ancestral Graph using the FCI_parallel algorithm
Estimate a PAG, using the FCI_stable algorithm
Estimate Total Causal Effects using the IDA_parallel Algorithm
Estimate Total Causal Effects
Estimate Total Causal Effects of Joint Interventions
Estimate Total Causal Effects of Joint Interventions
The Monte Carlo permutation test (mc-cor)
The Monte Carlo permutation test (mc-mi-g)
The Monte Carlo permutation test for Gaussian conditional independence...
Mutual information test
Shrinkage estimator for the mutual information (mi-g-sh)
Estimate the Equivalence Class of a DAG using the PC_parallel Algorith...
Estimate the Equivalence Class of a DAG using the PC_stable Algorithm
Estimate subgraph around a response variable using pcSelect_parallel.
Estimate subgraph around a response variable using pcSelect
Estimate a PAG fast using the RFCI_parallel Algorithm
Estimate a PAG using the RFCI_stable Algorithm
Estimate (Initial) Skeleton of a DAG.
Estimate (Initial) Skeleton of a DAG using the PC_stable Algorithm
The sequential Monte Carlo permutation test (smc-cor)
The sequential Monte Carlo permutation test (smc-mi-g)
The sequential Monte Carlo permutation test for Gaussian conditional i...
Gaussian conditional independence test
Parallelise constraint based causality discovery and causal inference methods. The parallelised algorithms in the package will generate the same results as that of the 'pcalg' package but will be much more efficient.