FSharp.Stats 0.4.0

F#-first linear algebra, machine learning, fitting, signal processing, and statistical testing.

Install-Package FSharp.Stats -Version 0.4.0
dotnet add package FSharp.Stats --version 0.4.0
<PackageReference Include="FSharp.Stats" Version="0.4.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
paket add FSharp.Stats --version 0.4.0
The NuGet Team does not provide support for this client. Please contact its maintainers for support. 
#r "nuget: FSharp.Stats, 0.4.0"
For F# scripts that support #r syntax, copy this into the source code to reference the package.

Release Notes

The documentation and unit tests have been extended.
FSharp.Stats**
[Modernization of build and CI chains](https://github.com/fslaborg/FSharp.Stats/commit/413194017492aa6a3f60d055bbb4e2a34c739afe)
Additional functionalities:
[Chi Distribution](https://github.com/fslaborg/FSharp.Stats/commit/3ff9571375d03592fda3649a172a69e326664de9)
[Box Muller transform](https://github.com/fslaborg/FSharp.Stats/commit/50f5cc00fbc735a6adc4fd45df07ee0f72831a18)
[Multivariate normal distribution](https://github.com/fslaborg/FSharp.Stats/commit/eaa85712006c514e3484a7d1a793c548ef094ee4)
[zTransform](https://github.com/fslaborg/FSharp.Stats/commit/775112b918525bc58453873e7ee6ed6af9d4b723)
[Statistical correlation testing](https://github.com/fslaborg/FSharp.Stats/commit/1e9dc4a47c650cc41a45a0408a72dbd2458521b0)
FSharp.Stats.Lapack**
[detachment of FSharp.Stats.Lapack project from FSharp.Stats](https://github.com/fslaborg/FSharp.Stats/commit/90c9551b978f46270ecac374b424a28575227ae4)
FSharp.Stats.MSF**
[detachment of FSharp.Stats.MSF project from FSharp.Stats](https://github.com/fslaborg/FSharp.Stats/commit/90c9551b978f46270ecac374b424a28575227ae4)

NuGet packages (5)

Showing the top 5 NuGet packages that depend on FSharp.Stats:

Package Downloads
BioFSharp.Stats
Statistical functions with a clear biological focus such as Gene Set Enrichment Analysis (GSEA)
BioFSharp.ImgP
Image recognition and analysis using wavelet transformations
TMEA
TMEA (Thermodynamically Motivated Enrichment Analysis) is a thermodynamically motivated approach to gene set enrichment analysis
FSharp.Stats.MSF
Statistical computations in F# using the Microsoft Solver Foundation
BioFSharp.Mz
BioFSharp.Mz - modular computational proteomics

GitHub repositories

This package is not used by any popular GitHub repositories.

Version History

Version Downloads Last updated
0.4.0 343 12/15/2020
0.3.0-beta 259 10/9/2020
0.2.1-beta 1,674 2/17/2020