Constant Field Values

edu.cmu.*

  • edu.cmu.tetrad.algcomparison.algorithm.other.PythonGin
    Modifier and Type
    Constant Field
    Value
    public static final String
    GIN_INDEP_TEST
    "ginIndepTestMethod"
  • edu.cmu.tetrad.algcomparison.statistic.Statistic
    Modifier and Type
    Constant Field
    Value
    public static final long
    serialVersionUID
    23L
  • edu.cmu.tetrad.data.audit.DataAudit
    Modifier and Type
    Constant Field
    Value
    public static final double
    EXPLAINING_SUBSET_FRACTION
    0.99
    public static final int
    EXPLAINING_SUBSET_MAX_SIZE
    5
    public static final String
    NON_GAUSSIAN_NOTE
    "Non-Gaussianity was flagged for at least one continuous variable. The Anderson-Darling check is marginal, and a non-Gaussian marginal is consistent both with a non-Gaussian error term in a linear additive model (the case LiNGAM-family methods exploit) and with a nonlinear or non-additive dependence on parents with Gaussian errors, which violates the functional form those methods assume. The nonlinearity checks tool (Tools > Nonlinearity Checks... in the Tetrad GUI) tests the conditional mean E(Y|X) directly and reports whether the effects of several parents combine additively, which distinguishes these cases; note that its verdicts are direction-relative, so both regression directions are informative."
    public static final String
    SENTINEL_VALUE_NOTE
    "A repeated point mass at the extreme of a variable\'s range was flagged (SENTINEL_VALUE). Whether such a value is a missing-data code or a real measurement cannot be settled from the numbers alone; the codebook or data dictionary for the file settles it. If it is a code, the cells holding it are missing entries that the file does not mark as missing, so the missingness audit understates the missing rate and the pattern of codes across variables is a missingness pattern: recoding them to missing and rerunning the audit reports both. The Data Audit dialog offers that recode per flagged variable. Note that the audit\'s other continuous checks - correlations, near-determinism, non-Gaussianity, serial dependence - were computed with the flagged value treated as data, so their verdicts for the affected columns should be read after the recode, not before."
    public static final String
    SERIAL_DEPENDENCE_NOTE
    "Serial dependence in file order was flagged with no serial grouping variable configured. This signature has two distinct causes: genuine serial structure (a time series or spatial sequence), or a file sorted by block (rows grouped by subject, configuration, or condition), where within-block homogeneity masquerades as autocorrelation. If a discrete variable identifies the blocks, recomputing the audit with it as the serial grouping variable separates the two: under the block reading the within-group autocorrelations collapse and block-constant variables are skipped, while under the serial reading the dependence survives grouping."
  • edu.cmu.tetrad.hybridcg.HybridCgIo
    Modifier and Type
    Constant Field
    Value
    public static final String
    FORMAT
    "hybridcg-im"
    public static final int
    VERSION
    1
  • edu.cmu.tetrad.search.utils.CorrectnessGates
    Modifier and Type
    Constant Field
    Value
    public static final double
    SCORE_EPSILON
    1.0E-6
  • edu.cmu.tetrad.search.utils.Embedding
    Modifier and Type
    Constant Field
    Value
    public static final double
    RANK_TRANSFORM
    -2.0
  • edu.cmu.tetrad.study.gene.tetrad.gene.algorithm.util.BasicMatrix
    Modifier and Type
    Constant Field
    Value
    public static final float
    MAX_FLOAT
    3.4028234663852886E38f
    public static final int
    MAX_INT
    2147483647
    public static final short
    MAX_SHORT
    32767
    public static final float
    MIN_FLOAT
    -3.4028234663852886E38f
    public static final int
    MIN_INT
    -2147483648
    public static final short
    MIN_SHORT
    -32768
  • edu.cmu.tetrad.study.gene.tetrad.gene.graph.LagGraphParams
    Modifier and Type
    Constant Field
    Value
    public static final int
    CONSTANT
    0
    public static final int
    MAX
    1
    public static final int
    MEAN
    2
  • edu.cmu.tetrad.study.gene.tetrad.gene.history.GraphRandomizer
    Modifier and Type
    Constant Field
    Value
    public static final long
    serialVersionUID
    23L
  • edu.cmu.tetrad.study.gene.tetrad.gene.history.Initializer
    Modifier and Type
    Constant Field
    Value
    public static final long
    serialVersionUID
    23L
  • edu.cmu.tetrad.study.gene.tetrad.gene.history.RandomDistribution
    Modifier and Type
    Constant Field
    Value
    public static final long
    serialVersionUID
    23L
  • edu.cmu.tetrad.study.gene.tetrad.gene.history.SimpleRandomizer
    Modifier and Type
    Constant Field
    Value
    public static final int
    CONSTANT
    0
    public static final int
    MAX
    1
    public static final int
    MEAN
    2

edu.pitt.*