Changes in version 0.5.0 (2026-02-21)                  

New features

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

                  Changes in version 0.4 (2022-05-31)                   

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.

                  Changes in version 0.3 (2021-03-17)                   

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).

                  Changes in version 0.2 (2020-04-27)                   

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.

                 Changes in version 0.1-5 (2019-09-27)                  

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().

                 Changes in version 0.1-4 (2018-01-09)                  

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.