FsStats 0.3.0

.NET Standard 2.0 This package targets .NET Standard 2.0. The package is compatible with this framework or higher.
There is a newer version of this package available.
See the version list below for details. 
dotnet add package FsStats --version 0.3.0                

                    
                

            
NuGet\Install-Package FsStats -Version 0.3.0
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package. 
<PackageReference Include="FsStats" Version="0.3.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
paket add FsStats --version 0.3.0                

                    
                

            
#r "nuget: FsStats, 0.3.0"
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package. 
// Install FsStats as a Cake Addin
#addin nuget:?package=FsStats&version=0.3.0

// Install FsStats as a Cake Tool
#tool nuget:?package=FsStats&version=0.3.0

Basic statistics with some probability library. Includes common distributions (Bernoulli, Binomial, Poisson, Student's and Normal), random number generators from some of the distributions, summary statistics for a sample, Z-Test, Student's T-Test, special functions (Error, Gamma, Beta and Regularized Incomplete Beta).

Product Compatible and additional computed target framework versions.
.NET net5.0 was computed.  net5.0-windows was computed.  net6.0 was computed.  net6.0-android was computed.  net6.0-ios was computed.  net6.0-maccatalyst was computed.  net6.0-macos was computed.  net6.0-tvos was computed.  net6.0-windows was computed.  net7.0 was computed.  net7.0-android was computed.  net7.0-ios was computed.  net7.0-maccatalyst was computed.  net7.0-macos was computed.  net7.0-tvos was computed.  net7.0-windows was computed.  net8.0 was computed.  net8.0-android was computed.  net8.0-browser was computed.  net8.0-ios was computed.  net8.0-maccatalyst was computed.  net8.0-macos was computed.  net8.0-tvos was computed.  net8.0-windows was computed. 
.NET Core netcoreapp2.0 was computed.  netcoreapp2.1 was computed.  netcoreapp2.2 was computed.  netcoreapp3.0 was computed.  netcoreapp3.1 was computed. 
.NET Standard netstandard2.0 is compatible.  netstandard2.1 was computed. 
.NET Framework net461 was computed.  net462 was computed.  net463 was computed.  net47 was computed.  net471 was computed.  net472 was computed.  net48 was computed.  net481 was computed. 
MonoAndroid monoandroid was computed. 
MonoMac monomac was computed. 
MonoTouch monotouch was computed. 
Tizen tizen40 was computed.  tizen60 was computed. 
Xamarin.iOS xamarinios was computed. 
Xamarin.Mac xamarinmac was computed. 
Xamarin.TVOS xamarintvos was computed. 
Xamarin.WatchOS xamarinwatchos was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages (1)

Showing the top 1 NuGet packages that depend on FsStats:

Package Downloads
FsStats.OOD

FsStats.OOD is an incomplete object-oriented interface for FsStats https://www.nuget.org/packages/FsStats

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last updated
0.4.0 1,642 7/20/2018
0.3.0 1,124 6/27/2018
0.2.1 959 6/20/2018
0.2.0 884 6/13/2018
0.1.3 971 6/10/2018
0.1.2 950 6/8/2018
0.1.1 1,125 6/8/2018
0.1.0 1,135 6/8/2018

0.3.0

* moved FsStats.OOD to a dedicated package
* fixed binomial coefficient calculation for large n and k
* added size to SummaryStatistics
0.2.1

* Add Interquartile range for Summary Statistics;
* fixed binomial coefficient calculation for k > n;
* Poisson Distribution fix: calculate factorial using float;
* added stddev for Student's t-distribution;
* added isNormalApproximationApplicable for Binomial Distribution.

0.2.0

* Added StandardDistribution type (represents Standard Normal Distribution);
* optimized generating random samples from Normal Distribution;
* enhanced NormalDistribution, StudentsDistribution and SummaryStatistics types;
* implemented Inverse Error special function.