Robust statistics based on the biweight transform.

BiweightStats.jl is a registered package and can be installed using the Julia package manager. From the Julia REPL, enter Pkg mode (by pressing ])

julia>]

pkg> add BiweightStats

To exit Pkg mode, just backspace. Once the package is installed it can be imported with

julia> using BiweightStats

To exit Pkg mode, just backspace. Once the package is installed it can be imported with For more information, see the Pkg documentation.

The following statistics are defined as methods. For more information, see the online documentation.

• location
• scale
• midvar
• midcov
• midcor

• StatsBase.jl

  Contains a couple robust statistics, but has no overlapping functionality with this package.

• RobustStats.jl

  Contains many more robust statistics primarily based on the WRS R package. Appears to be unmaintained and not updated to Julia v1. The bivar function is the same as this package's midvar, although bivar does not have definitions for the statistics across axes of an array.

• astropy.stats

  Python implementations of all the statistics presented here. There are some slight differences in the function signatures, including the default cutoff value c (for some statistics).

If you would like to contribute, feel free to open a pull request. If you want to discuss something before contributing, head over to discussions and join or open a new topic. If you're having problems with something, please open an issue.