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

Packages that use IFas
Package
Description
Contains classes for searching for (mostly structural) causal models given data.
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 
    Implements the Fast Adjacency Search (FAS), which is the adjacency search of the PC algorithm (see).
    class 
    Adjusts FAS (see) for the deterministic case by refusing to removed edges based on conditional independence tests that are judged to be deterministic.
    class 
    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
    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.
    Pcd.search(IFas fas, List<Node> nodes)
     
    Rfci.search(IFas fas, List<Node> nodes)
    Runs the search and returns the RFCI PAG.
    SvarFci.search(IFas fas)
    Runs the search using a particular implementation of FAS.
  • Uses of IFas in edu.cmu.tetrad.search.work_in_progress

    Modifier and Type
    Class
    Description
    class 
    Implements the "fast adjacency search" used in several causal algorithm in this package.
    class 
    Implements the Fast Adjacency Search (FAS), which is the adjacency search of the PC algorithm (see).
    class 
    Implements the "fast adjacency search" used in several causal algorithm in this package.