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univOutl 0.5.0

New features

• Added Walker et al. (2018) modified boxplot to the boxB() function.

univOutl 0.4

Improvements

• Updated the plot4sizes() function and its output.
• Updated compatibility with robustbase.
• Updated the plot4sizes() function and its output.
• Updated code depending on the robustbase package. Starting from robustbase v0.95-0 (2022-04-02), mc() now uses doScale = FALSE by default to guarantee convergence in extreme cases when used with c.huberize = 1e11. These changes are not backward compatible.

univOutl 0.3

Improvements

• Modified boxB() and LocScaleB() to return outliers by tail of the distribution (thanks to Eliot McGinnis for suggesting the improvement and providing modified code).

univOutl 0.2

New features

• Added the skew.misc() function to compute skewness measures.
• Added the possibility in HBmethod() to detect outliers in Escores using a boxplot adjusted for skewness.
• Added a new method in LocScaleB() to account for slightly skewed distributions.

univOutl 0.1-5

Improvements

• Modified HBmethod() according to a note from Hidiroglou and Emond (2018).
• Modified the data frame returned by ratioSize() when return.data = TRUE: the column "size" is now named "sizeU" for consistency with HBmethod().
• Added the plot4sizes() function to plot output from HBmethod() or ratioSize().

univOutl 0.1-4

Bug fixes

• Corrected a bug in LocScaleB() when computing the score.
• Added the possibility in LocScaleB() to estimate the scale using the Inter-Decile Range (method = "IDR") or based on Gini’s mean difference.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.