# Is there a package implementing the Box and Cox (1964) method for transforming data?
**URL:** https://discourse.julialang.org/t/is-there-a-package-implementing-the-box-and-cox-1964-method-for-transforming-data/14024
**Category:** Statistics
**Tags:** question
**Created:** [August 25, 2018, 3:26am UTC](https://discourse.julialang.org/t/is-there-a-package-implementing-the-box-and-cox-1964-method-for-transforming-data/14024 "2018-08-25T03:26:48Z")
**Posts on this page:** 6
**Page:** 1
### Author:  [@jjlynch](https://discourse.julialang.org/u/jjlynch)
#### Post date: [August 25, 2018, 3:26am UTC](https://discourse.julialang.org/t/is-there-a-package-implementing-the-box-and-cox-1964-method-for-transforming-data/14024/1 "2018-08-25T03:26:48Z")
HI,
I’m new to Julia and looking to convert some of my workflow. I was wondering if there is an implementation of the maximum likelihood-like approach of Box and Cox (1964)?
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### Author:  [@Tamas\_Papp](https://discourse.julialang.org/u/Tamas_Papp)
#### Post date: [August 25, 2018, 5:36am UTC](https://discourse.julialang.org/t/is-there-a-package-implementing-the-box-and-cox-1964-method-for-transforming-data/14024/2 "2018-08-25T05:36:37Z")
I may be missing something, but isn’t [the Box-Cox transformation](https://en.wikipedia.org/wiki/Power_transform#Box%E2%80%93Cox_transformation) rather trivial to implement? Why do you need a package for this?
ML should be easy with a generic optimization library like Optim.jl. Eg see [a recent thread](https://discourse.julialang.org/t/maximum-likelihood-normal-linear-model/11664/20).
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### Author:  [@jjlynch](https://discourse.julialang.org/u/jjlynch)
#### Post date: [August 25, 2018, 1:19pm UTC](https://discourse.julialang.org/t/is-there-a-package-implementing-the-box-and-cox-1964-method-for-transforming-data/14024/3 "2018-08-25T13:19:27Z")
Yes, it is relatively trivial to implement. I just thought I would ask given that it’s commonly implemented in statistical packages in most data science / statistical oriented languages.
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### Author:  [@tk3369](https://discourse.julialang.org/u/tk3369)
#### Post date: [September 2, 2018, 8:30am UTC](https://discourse.julialang.org/t/is-there-a-package-implementing-the-box-and-cox-1964-method-for-transforming-data/14024/4 "2018-09-02T08:30:37Z")
I just created a package 😉 Not registered though.
[https://github.com/tk3369/BoxCoxTrans.jl](https://github.com/tk3369/BoxCoxTrans.jl)
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### Author:  [@Tamas\_Papp](https://discourse.julialang.org/u/Tamas_Papp)
#### Post date: [September 2, 2018, 8:47am UTC](https://discourse.julialang.org/t/is-there-a-package-implementing-the-box-and-cox-1964-method-for-transforming-data/14024/5 "2018-09-02T08:47:13Z")
Incidentally, I like your use of `𝐱` in code. It solves the eternal `elt` vs `x` vs `xs` dilemma.
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### Author:  [@tk3369](https://discourse.julialang.org/u/tk3369)
#### Post date: [September 9, 2018, 6:33pm UTC](https://discourse.julialang.org/t/is-there-a-package-implementing-the-box-and-cox-1964-method-for-transforming-data/14024/6 "2018-09-09T18:33:09Z")
For those who are interested, I’ve updated the package:
1. Ability to specify custom lambda parameter
2. Ability to scale results with geometric mean for better interpretability with units
3. Ability to switch between two different log-likelihood implementations
4. Better README and doc strings