Uses of Package
edu.cmu.tetrad.data

Packages that use edu.cmu.tetrad.data

Package	Description
edu.cmu.tetrad.algcomparison
edu.cmu.tetrad.algcomparison.algorithm
edu.cmu.tetrad.algcomparison.algorithm.cluster
edu.cmu.tetrad.algcomparison.algorithm.continuous.dag
edu.cmu.tetrad.algcomparison.algorithm.external
edu.cmu.tetrad.algcomparison.algorithm.mixed
edu.cmu.tetrad.algcomparison.algorithm.multi
edu.cmu.tetrad.algcomparison.algorithm.oracle.cpdag
edu.cmu.tetrad.algcomparison.algorithm.oracle.pag
edu.cmu.tetrad.algcomparison.algorithm.oracle.pattern
edu.cmu.tetrad.algcomparison.algorithm.other
edu.cmu.tetrad.algcomparison.algorithm.pairwise
edu.cmu.tetrad.algcomparison.independence
edu.cmu.tetrad.algcomparison.score
edu.cmu.tetrad.algcomparison.simulation
edu.cmu.tetrad.algcomparison.statistic
edu.cmu.tetrad.algcomparison.utils
edu.cmu.tetrad.bayes
edu.cmu.tetrad.calculator
edu.cmu.tetrad.calibration
edu.cmu.tetrad.classify
edu.cmu.tetrad.data
edu.cmu.tetrad.data.simulation
edu.cmu.tetrad.graph
edu.cmu.tetrad.regression
edu.cmu.tetrad.search	Contains classes for searching for (mostly structural) causal models given data.
edu.cmu.tetrad.search.score	Contains classes for various various sorts of scores for running score-based algorithms.
edu.cmu.tetrad.search.test	Contains classes for running conditional independence tests for various sorts of data.
edu.cmu.tetrad.search.utils	Contains some utility classes for search algorithms.
edu.cmu.tetrad.search.work_in_progress	Contains some classes that aren't ready for prime time.
edu.cmu.tetrad.sem
edu.cmu.tetrad.simulation
edu.cmu.tetrad.study.gene.tetradapp.model
edu.cmu.tetrad.study.performance
edu.cmu.tetrad.util
edu.pitt.csb.mgm
edu.pitt.csb.stability
edu.pitt.dbmi.algo.bayesian.constraint.search
edu.pitt.dbmi.algo.resampling
edu.pitt.dbmi.algo.resampling.task

Classes in edu.cmu.tetrad.data used by edu.cmu.tetrad.algcomparison

Class	Description
DataModel	Interface implemented by classes, instantiations of which can serve as data models in Tetrad.

Classes in edu.cmu.tetrad.data used by edu.cmu.tetrad.algcomparison.algorithm

Class	Description
DataModel	Interface implemented by classes, instantiations of which can serve as data models in Tetrad.
DataType	The type of the data set--continuous if all continuous variables, discrete if all discrete variables; otherwise, mixed.

Classes in edu.cmu.tetrad.data used by edu.cmu.tetrad.algcomparison.algorithm.cluster

Class	Description
DataModel	Interface implemented by classes, instantiations of which can serve as data models in Tetrad.
DataType	The type of the data set--continuous if all continuous variables, discrete if all discrete variables; otherwise, mixed.
Knowledge	Stores information about required and forbidden edges and common causes for use in algorithm.

Classes in edu.cmu.tetrad.data used by edu.cmu.tetrad.algcomparison.algorithm.continuous.dag

Class	Description
DataModel	Interface implemented by classes, instantiations of which can serve as data models in Tetrad.
DataType	The type of the data set--continuous if all continuous variables, discrete if all discrete variables; otherwise, mixed.

Classes in edu.cmu.tetrad.data used by edu.cmu.tetrad.algcomparison.algorithm.external

Class	Description
DataModel	Interface implemented by classes, instantiations of which can serve as data models in Tetrad.
DataSet	Implements a rectangular data set, in the sense of being a dataset with a fixed number of columns and a fixed number of rows, the length of each column being constant.
DataType	The type of the data set--continuous if all continuous variables, discrete if all discrete variables; otherwise, mixed.

Classes in edu.cmu.tetrad.data used by edu.cmu.tetrad.algcomparison.algorithm.mixed

Class	Description
DataModel	Interface implemented by classes, instantiations of which can serve as data models in Tetrad.
DataType	The type of the data set--continuous if all continuous variables, discrete if all discrete variables; otherwise, mixed.

Classes in edu.cmu.tetrad.data used by edu.cmu.tetrad.algcomparison.algorithm.multi

Class	Description
DataModel	Interface implemented by classes, instantiations of which can serve as data models in Tetrad.
DataType	The type of the data set--continuous if all continuous variables, discrete if all discrete variables; otherwise, mixed.
Knowledge	Stores information about required and forbidden edges and common causes for use in algorithm.

Classes in edu.cmu.tetrad.data used by edu.cmu.tetrad.algcomparison.algorithm.oracle.cpdag

Class	Description
DataModel	Interface implemented by classes, instantiations of which can serve as data models in Tetrad.
DataType	The type of the data set--continuous if all continuous variables, discrete if all discrete variables; otherwise, mixed.
Knowledge	Stores information about required and forbidden edges and common causes for use in algorithm.

Classes in edu.cmu.tetrad.data used by edu.cmu.tetrad.algcomparison.algorithm.oracle.pag

Class	Description
DataModel	Interface implemented by classes, instantiations of which can serve as data models in Tetrad.
DataType	The type of the data set--continuous if all continuous variables, discrete if all discrete variables; otherwise, mixed.
Knowledge	Stores information about required and forbidden edges and common causes for use in algorithm.

Classes in edu.cmu.tetrad.data used by edu.cmu.tetrad.algcomparison.algorithm.oracle.pattern

Class	Description
DataModel	Interface implemented by classes, instantiations of which can serve as data models in Tetrad.
DataType	The type of the data set--continuous if all continuous variables, discrete if all discrete variables; otherwise, mixed.

Classes in edu.cmu.tetrad.data used by edu.cmu.tetrad.algcomparison.algorithm.other

Class	Description
DataModel	Interface implemented by classes, instantiations of which can serve as data models in Tetrad.
DataType	The type of the data set--continuous if all continuous variables, discrete if all discrete variables; otherwise, mixed.

Classes in edu.cmu.tetrad.data used by edu.cmu.tetrad.algcomparison.algorithm.pairwise

Class	Description
DataModel	Interface implemented by classes, instantiations of which can serve as data models in Tetrad.
DataType	The type of the data set--continuous if all continuous variables, discrete if all discrete variables; otherwise, mixed.

Classes in edu.cmu.tetrad.data used by edu.cmu.tetrad.algcomparison.independence

Class	Description
DataModel	Interface implemented by classes, instantiations of which can serve as data models in Tetrad.
DataType	The type of the data set--continuous if all continuous variables, discrete if all discrete variables; otherwise, mixed.

Classes in edu.cmu.tetrad.data used by edu.cmu.tetrad.algcomparison.score

Class	Description
DataModel	Interface implemented by classes, instantiations of which can serve as data models in Tetrad.
DataType	The type of the data set--continuous if all continuous variables, discrete if all discrete variables; otherwise, mixed.

Classes in edu.cmu.tetrad.data used by edu.cmu.tetrad.algcomparison.simulation

Class	Description
DataModel	Interface implemented by classes, instantiations of which can serve as data models in Tetrad.
DataType	The type of the data set--continuous if all continuous variables, discrete if all discrete variables; otherwise, mixed.
Knowledge	Stores information about required and forbidden edges and common causes for use in algorithm.

Classes in edu.cmu.tetrad.data used by edu.cmu.tetrad.algcomparison.statistic

Class	Description
DataModel	Interface implemented by classes, instantiations of which can serve as data models in Tetrad.

Classes in edu.cmu.tetrad.data used by edu.cmu.tetrad.algcomparison.utils

Class	Description
Knowledge	Stores information about required and forbidden edges and common causes for use in algorithm.

Classes in edu.cmu.tetrad.data used by edu.cmu.tetrad.bayes

Class	Description
DataFilter	Interface implemented by classes whose purpose is to generate modifications of data sets.
DataModel	Interface implemented by classes, instantiations of which can serve as data models in Tetrad.
DataSet	Implements a rectangular data set, in the sense of being a dataset with a fixed number of columns and a fixed number of rows, the length of each column being constant.
DiscreteVariable	Represents a discrete variable as a range of integer-valued categories 0, 1, ..., m - 1, where m is the number of categories for the variable.
Simulator	Created by jdramsey on 12/22/15.
VariableSource	Inteface implemented by classes, instantiations of which are associated with lists of variables.

Classes in edu.cmu.tetrad.data used by edu.cmu.tetrad.calculator

Class	Description
DataSet	Implements a rectangular data set, in the sense of being a dataset with a fixed number of columns and a fixed number of rows, the length of each column being constant.

Classes in edu.cmu.tetrad.data used by edu.cmu.tetrad.calibration

Class	Description
DataSet	Implements a rectangular data set, in the sense of being a dataset with a fixed number of columns and a fixed number of rows, the length of each column being constant.

Classes in edu.cmu.tetrad.data used by edu.cmu.tetrad.classify

Class	Description
DataSet	Implements a rectangular data set, in the sense of being a dataset with a fixed number of columns and a fixed number of rows, the length of each column being constant.
DiscreteVariable	Represents a discrete variable as a range of integer-valued categories 0, 1, ..., m - 1, where m is the number of categories for the variable.

Classes in edu.cmu.tetrad.data used by edu.cmu.tetrad.data

Class	Description
AbstractVariable	Base class for variable specifications for DataSet.
BoxDataSet	Wraps a DataBox in such a way that mixed data sets can be stored.
Clusters	Stores clusters of variables for MimBuild, Purify, etc.
ContinuousVariable	Represents a real-valued variable.
CorrelationMatrix	Stores a correlation matrix together with variable names and sample size; intended as a representation of a data set.
CorrelationMatrixOnTheFly	Stores a covariance matrix together with variable names and sample size, intended as a representation of a data set.
CovarianceMatrix	Stores a covariance matrix together with variable names and sample size, intended as a representation of a data set.
CovarianceMatrixOnTheFly	Stores a covariance matrix together with variable names and sample size, intended as a representation of a data set.
DataBox	Stores a 2D array of data.
DataFilter	Interface implemented by classes whose purpose is to generate modifications of data sets.
DataModel	Interface implemented by classes, instantiations of which can serve as data models in Tetrad.
DataModelList	Stores a list of data models and keeps track of which one is selected.
DataSet	Implements a rectangular data set, in the sense of being a dataset with a fixed number of columns and a fixed number of rows, the length of each column being constant.
DataType	The type of the data set--continuous if all continuous variables, discrete if all discrete variables; otherwise, mixed.
DelimiterType	Type-safe enum of delimiter types for parsing data.
DiscreteDiscretizationSpec	Specifies how a column (continuous or discrete) should be discretized.
DiscreteVariable	Represents a discrete variable as a range of integer-valued categories 0, 1, ..., m - 1, where m is the number of categories for the variable.
DiscreteVariableType	Type-safe enum of discrete variable types.
DiscretizationSpec	A continuous or discrete discretization spec (see).
Discretizer.Discretization
ICovarianceMatrix	Interface for covariance matrices.
IndependenceFacts	Stores a list of independence facts.
Knowledge	Stores information about required and forbidden edges and common causes for use in algorithm.
KnowledgeEdge	Implements a knowledge edge X-->Y as a simple ordered pair of strings.
KnowledgeGroup	Represents a "Other Group" in Knowledge, which can be understood as: Group1 -> Group2 where there are edges between all members of Group1 to Group2.
KnowledgeTransferable	Interface implemented by classes that are capable of participating in the transfer of knowledge objects.
NumberObjectDataSet	Wraps a 2D array of Number objects in such a way that mixed data sets can be stored.
SplitCasesSpec	Specifies how a column (continuous or discrete) should be discretized.
TimeSeriesData	Stores time series data as a list of continuous columns.
Variable	Interface implemented by classes, instantiations of which are capable of serving as variables for columns in a DataSet.
VariableSource	Inteface implemented by classes, instantiations of which are associated with lists of variables.

Classes in edu.cmu.tetrad.data used by edu.cmu.tetrad.data.simulation

Class	Description
DataModel	Interface implemented by classes, instantiations of which can serve as data models in Tetrad.
DataType	The type of the data set--continuous if all continuous variables, discrete if all discrete variables; otherwise, mixed.

Classes in edu.cmu.tetrad.data used by edu.cmu.tetrad.graph

Class	Description
DataSet	Implements a rectangular data set, in the sense of being a dataset with a fixed number of columns and a fixed number of rows, the length of each column being constant.
Knowledge	Stores information about required and forbidden edges and common causes for use in algorithm.

Classes in edu.cmu.tetrad.data used by edu.cmu.tetrad.regression

Class	Description
DataSet	Implements a rectangular data set, in the sense of being a dataset with a fixed number of columns and a fixed number of rows, the length of each column being constant.
DiscreteVariable	Represents a discrete variable as a range of integer-valued categories 0, 1, ..., m - 1, where m is the number of categories for the variable.
ICovarianceMatrix	Interface for covariance matrices.

Classes in edu.cmu.tetrad.data used by edu.cmu.tetrad.search

Class	Description
DataModel	Interface implemented by classes, instantiations of which can serve as data models in Tetrad.
DataSet	Implements a rectangular data set, in the sense of being a dataset with a fixed number of columns and a fixed number of rows, the length of each column being constant.
ICovarianceMatrix	Interface for covariance matrices.
Knowledge	Stores information about required and forbidden edges and common causes for use in algorithm.

Classes in edu.cmu.tetrad.data used by edu.cmu.tetrad.search.score

Class	Description
DataModel	Interface implemented by classes, instantiations of which can serve as data models in Tetrad.
DataSet	Implements a rectangular data set, in the sense of being a dataset with a fixed number of columns and a fixed number of rows, the length of each column being constant.
ICovarianceMatrix	Interface for covariance matrices.
IndependenceFacts	Stores a list of independence facts.

Classes in edu.cmu.tetrad.data used by edu.cmu.tetrad.search.test

Class	Description
CellTable	Stores a cell count table of arbitrary dimension.
DataModel	Interface implemented by classes, instantiations of which can serve as data models in Tetrad.
DataSet	Implements a rectangular data set, in the sense of being a dataset with a fixed number of columns and a fixed number of rows, the length of each column being constant.
ICovarianceMatrix	Interface for covariance matrices.
IndependenceFacts	Stores a list of independence facts.

Classes in edu.cmu.tetrad.data used by edu.cmu.tetrad.search.utils

Class	Description
Clusters	Stores clusters of variables for MimBuild, Purify, etc.
CorrelationMatrix	Stores a correlation matrix together with variable names and sample size; intended as a representation of a data set.
DataModel	Interface implemented by classes, instantiations of which can serve as data models in Tetrad.
DataSet	Implements a rectangular data set, in the sense of being a dataset with a fixed number of columns and a fixed number of rows, the length of each column being constant.
DiscreteVariable	Represents a discrete variable as a range of integer-valued categories 0, 1, ..., m - 1, where m is the number of categories for the variable.
ICovarianceMatrix	Interface for covariance matrices.
IndependenceFacts	Stores a list of independence facts.
Knowledge	Stores information about required and forbidden edges and common causes for use in algorithm.

Classes in edu.cmu.tetrad.data used by edu.cmu.tetrad.search.work_in_progress

Class	Description
CorrelationMatrix	Stores a correlation matrix together with variable names and sample size; intended as a representation of a data set.
CovarianceMatrix	Stores a covariance matrix together with variable names and sample size, intended as a representation of a data set.
DataModel	Interface implemented by classes, instantiations of which can serve as data models in Tetrad.
DataSet	Implements a rectangular data set, in the sense of being a dataset with a fixed number of columns and a fixed number of rows, the length of each column being constant.
ICovarianceMatrix	Interface for covariance matrices.
IndependenceFacts	Stores a list of independence facts.
Knowledge	Stores information about required and forbidden edges and common causes for use in algorithm.

Classes in edu.cmu.tetrad.data used by edu.cmu.tetrad.sem

Class	Description
DataSet	Implements a rectangular data set, in the sense of being a dataset with a fixed number of columns and a fixed number of rows, the length of each column being constant.
ICovarianceMatrix	Interface for covariance matrices.
Knowledge	Stores information about required and forbidden edges and common causes for use in algorithm.
Simulator	Created by jdramsey on 12/22/15.

Classes in edu.cmu.tetrad.data used by edu.cmu.tetrad.simulation

Class	Description
DataSet	Implements a rectangular data set, in the sense of being a dataset with a fixed number of columns and a fixed number of rows, the length of each column being constant.
VerticalIntDataBox	Stores a 2D array of int data.

Classes in edu.cmu.tetrad.data used by edu.cmu.tetrad.study.gene.tetradapp.model

Class	Description
DataModelList	Stores a list of data models and keeps track of which one is selected.

Classes in edu.cmu.tetrad.data used by edu.cmu.tetrad.study.performance

Class	Description
Knowledge	Stores information about required and forbidden edges and common causes for use in algorithm.

Classes in edu.cmu.tetrad.data used by edu.cmu.tetrad.util

Class	Description
DataModel	Interface implemented by classes, instantiations of which can serve as data models in Tetrad.

Classes in edu.cmu.tetrad.data used by edu.pitt.csb.mgm

Class	Description
DataSet	Implements a rectangular data set, in the sense of being a dataset with a fixed number of columns and a fixed number of rows, the length of each column being constant.

Classes in edu.cmu.tetrad.data used by edu.pitt.csb.stability

Class	Description
DataSet	Implements a rectangular data set, in the sense of being a dataset with a fixed number of columns and a fixed number of rows, the length of each column being constant.

Classes in edu.cmu.tetrad.data used by edu.pitt.dbmi.algo.bayesian.constraint.search

Class	Description
DataSet	Implements a rectangular data set, in the sense of being a dataset with a fixed number of columns and a fixed number of rows, the length of each column being constant.
Knowledge	Stores information about required and forbidden edges and common causes for use in algorithm.

Classes in edu.cmu.tetrad.data used by edu.pitt.dbmi.algo.resampling

Class	Description
DataSet	Implements a rectangular data set, in the sense of being a dataset with a fixed number of columns and a fixed number of rows, the length of each column being constant.
Knowledge	Stores information about required and forbidden edges and common causes for use in algorithm.

Classes in edu.cmu.tetrad.data used by edu.pitt.dbmi.algo.resampling.task

Class	Description
DataModel	Interface implemented by classes, instantiations of which can serve as data models in Tetrad.
Knowledge	Stores information about required and forbidden edges and common causes for use in algorithm.