Package edu.cmu.tetrad.algcomparison.utils

package edu.cmu.tetrad.algcomparison.utils
  • Class
    Description
    AcceptsKnowledge
    Stores a knowledge object.
    HasParameters
    Tags a gadget as having parameters
    HasParameterValues
    Tags a gadget as having parameters values.
    MultiDataSetScoreWrapper
    A score wrapper that can construct its per-data-set scores jointly, coordinating any data-dependent representation choices across the data sets.
    ParameterSettingsText
    Renders the effective parameter settings of a configured algorithm as plain text suitable for copying into an email, a lab notebook, or a script - one name = value line per parameter, grouped into the same sections the parameter panel displays (algorithm, score, test, bootstrapping), with section titles taken from the annotations.
    ParameterSettingsText.ApplyResult
    The result of applying pasted settings text: the section titles encountered, the names of parameters whose values were applied, and the lines that were skipped (with reasons).
    ParameterValues
    Tags a class that can return values for parameters.
    PooledIndependenceWrapper
    The test-side counterpart of PooledScoreWrapper: builds the inner test on each pooled data set and combines them with IndTestMulti using Fisher's method (default) or Tippett's method on the per-data-set p-values, per Params.POOLED_TEST_METHOD (data sets are assumed independent of one another, e.g.
    PooledScoreWrapper
    A score wrapper that pools several data sets into one IMaGES score built from an inner score wrapper.
    PoolsImputations
    An algorithm that can take several imputations of one data set with missing values and run ONE search over them, with the uncertainty from the missing values carried into each of its statistical decisions.
    ProvidesKnowledge
    A simulation whose design implies background knowledge that an analyst of the resulting data would legitimately have - typically tiers given by the roles of the variables (design factors before derived quantities before responses; context before system before indices before outcomes) - and that can supply it for each emitted data model.
    TakesData
    Tags a gadget that takes a data model list as argument to its constructor.
    TakesExternalGraph
    Tags an algorithm that can take an external graph as input.
    TakesIndependenceWrapper
    Tags an algorithm as using an independence wrapper.
    TakesScoreWrapper
    Tags an algorithm as using a score wrapper.