Uses of Interface
edu.cmu.tetrad.search.IFas

Packages that use IFas

Package	Description
edu.cmu.tetrad.search	Contains classes for searching for (mostly structural) causal models given data.
edu.cmu.tetrad.search.work_in_progress	Contains some classes that aren't ready for prime time.

Uses of IFas in edu.cmu.tetrad.search

Classes in edu.cmu.tetrad.search that implement IFas

Modifier and Type	Class	Description
class	Fas	Implements the Fast Adjacency Search (FAS), which is the adjacency search of the PC algorithm (see).
class	Fasd	Adjusts FAS (see) for the deterministic case by refusing to removed edges based on conditional independence tests that are judged to be deterministic.
class	SvarFas	Adapts FAS for the time series setting, assuming the data is generated by a SVAR (structural vector autoregression).

Methods in edu.cmu.tetrad.search with parameters of type IFas

Modifier and Type	Method	Description
Graph	Pc.search(IFas fas, Set<Node> nodes)	Runs the search using a particular implementation of the fast adjacency search (FAS), over the given sublist of nodes.
Graph	Pcd.search(IFas fas, List<Node> nodes)
Graph	Rfci.search(IFas fas, List<Node> nodes)	Runs the search and returns the RFCI PAG.
Graph	SvarFci.search(IFas fas)	Runs the search using a particular implementation of FAS.

Uses of IFas in edu.cmu.tetrad.search.work_in_progress

Classes in edu.cmu.tetrad.search.work_in_progress that implement IFas

Modifier and Type	Class	Description
class	FasFdr	Implements the "fast adjacency search" used in several causal algorithm in this package.