Measurements.jl
FewSpecialFunctions.jl
Measurements.jl | FewSpecialFunctions.jl | |
---|---|---|
2 | 1 | |
472 | 11 | |
1.1% | - | |
5.8 | 5.0 | |
24 days ago | about 2 months ago | |
Julia | Julia | |
MIT License | MIT License |
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Measurements.jl
- Uncertainty in linear equations
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Lisp-stat: An environment for Statistical Computing
Aside from the language features, some of the libraries in Julia make it really useful for statistical computing. One really cool library I am trying to use more and more in Julia is the Measurements library [1]. With the multiple dispatch system in Julia its super easy to integrate into most problems and can let you estimate error bounds on values programs produce. Super important for scientific applications.
I am hoping in the future that I can mix this in with some auto-diff problems to get uncertainty bounds on estimation problems with minimal fiddling with covariance matrices. Right now the performance is the only problem in integrating the library into pretty much any problem :(
[1] https://github.com/JuliaPhysics/Measurements.jl
FewSpecialFunctions.jl
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Package feedback
I noticed there were many requests for implementations of special functions in SpecialFunctions.jl, but the authors seem quite hesitant to allow more functions. That's why I created FewSpecialFunctions.jl to fill in the gaps and add those functions. So far, I have only added a few functions to high precision and would like some feedback on the package. You can also make a PR to implement your own function.
What are some alternatives?
ITensors.jl - A Julia library for efficient tensor computations and tensor network calculations
SpecialFunctions.jl - Special mathematical functions in Julia
lisp-stat - Lisp-Stat main system
Tabulations.jl - A package to create and load tabulations of functions. Supports Unitful. [Moved to: https://github.com/aurelio-amerio/FunctionTabulations.jl]
XLS-compat - XLISP-STAT compatibility library
common-lisp-stat - Common Lisp Statistics -- based on LispStat (Tierney) but updated for Common Lisp and incorporating lessons from R (http://www.r-project.org/). See the google group for lisp stat / common lisp statistics for a mailing list.