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.