Classes

• namespace sam
  • class CohensD
  • class ConditionDropping
    • struct Parameters
  • class DataStrategy
    Abstract class for Data Strategies.
  • class DefaultResearchStrategy
    The deceleration of the default research strategy.
    • struct Parameters
      The parameters of the strategy.
  • class DependentVariable
    Declaration of DependentVariable class.
  • class EffectStrategy
    Abstract class for Effect Size Strategy.
  • class EggersTestEstimator
    Egger's Test of Funnel Plot Symmetry.
    • struct Parameters
      Parameters of the EggersTestEstimator.
    • struct ResultType
  • class Experiment
    Experiment encapsulates data and methods needed by the Researcher to conduct its research.
  • class ExperimentSetup
    Declaration of ExperimentSetup class.
  • class ExperimentSetupBuilder
  • class FTest
    • struct Parameters
    • struct ResultType
  • class FabricatingData
    • struct Parameters
  • class FalsifyingData
    • struct Parameters
  • class FixedEffectEstimator
    Fixed Effect Estimator.
    • struct ResultType
  • class FrankenbachStrategy
    • struct Parameters
  • class FreeSelection
    FreeSelection doesn't pose any restriction on the submission and all submissions will be accepted.
    • struct Parameters
      Parameters of free selection.
  • class GRMDataStrategy
    Simulate data based on General Graded Response Model.
    • struct Parameters
  • class GroupPooling
    • struct Parameters
  • class HackingProbabilityStrategy
  • class HackingStrategy
    Abstract Class of Hacking Strategies.
  • class HedgesG
  • class Journal
    Journal Class.
  • class LatentDataStrategy
    ⚠️ TO BE IMPLEMENTED!
  • class LinearModelStrategy
    Linear Model Data Strategy.
    • struct Parameters
      Parameters of LinearModelStrategy.
  • class MeanDifference
  • class MetaAnalysis
  • class OptionalDropping
    • struct Parameters
  • class OptionalStopping
    • struct Parameters
  • class OutliersRemoval
    Declaration of Outlier Removal hacking method based on items' distance from their sample mean.
    • struct Parameters
  • class Parameter
    An abstract representation of a random variable parameter.
  • class PeekingOutliersRemoval
    • struct Parameters
  • class PersistenceManager
    • class Reader
    • class Writer
      Declaration of the Writer class.
  • struct Policy
    Implementation of the Policy class.
  • class PolicyBasedSelection
    Policy-based Selection Strategy.
    • struct Parameters
      Parameters of the Policy-based Selection.
  • struct PolicyChain
    Implementation of the PolicyChain class.
  • struct PolicyChainSet
  • class QuestionableRounding
    • struct Parameters
  • class RandomEffectEstimator
    Random Effect Estimator.
    • struct Parameters
      Parameters of the RandomEffectEstimator.
    • struct ResultType
  • class RandomSelection
    Random Selection Strategy.
    • struct Parameters
      Parameter of Random Selection review strategy.
  • class RankCorrelation
    Begg's Rank Correlation Test.
    • struct Parameters
      Parameters of RankCorrelation.
    • struct ResultType
  • class ResearchStrategy
    Abstract class for different research strategies.
  • class Researcher
    This class describes a researcher.
  • class ResearcherBuilder
  • class SignificantSelection
    Significant-based Selection Strategy.
    • struct Parameters
  • class StandardizedMeanDifference
  • class StoppingDataCollection
    • struct Parameters
  • class SubjectiveOutlierRemoval
    The subjective outlier removal refers to a type of outliers removal where the researcher continuously lowers the threshold of identifying an outlier, k, until it finds a significant (or satisfactory) result.
    • struct Parameters
      SubjectiveOutlierRemoval's parameters.
  • class Submission
  • class TTest
    Declration of t-test.
    • struct Parameters
    • struct ResultType
  • class TestOfObsOverExptSig
    Test of Excess of Significant Findings.
    • struct Parameters
    • struct ResultType
  • class TestStrategy
    Abstract class for defining test strategies.
  • class TrimAndFill
    Trim and Fill Publication Bias Test.
    • struct Parameters
      Parameters of the TrimAndFill.
    • struct ResultType
  • class WilcoxonTest
    • struct Parameters
    • struct ResultType
  • class YuenTest
    • struct Parameters
    • struct ResultType

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Updated on 29 June 2021 at 16:13:48 CEST

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Last update: 2021-09-18