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.