Accord.Statistics 3.8.0

.NET Standard 1.4 .NET Framework 3.5
There is a newer prerelease version of this package available.
See the version list below for details.
dotnet add package Accord.Statistics --version 3.8.0
NuGet\Install-Package Accord.Statistics -Version 3.8.0
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="Accord.Statistics" Version="3.8.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Accord.Statistics --version 3.8.0
#r "nuget: Accord.Statistics, 3.8.0"
#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 Accord.Statistics as a Cake Addin
#addin nuget:?package=Accord.Statistics&version=3.8.0

// Install Accord.Statistics as a Cake Tool
#tool nuget:?package=Accord.Statistics&version=3.8.0

Contains probability distributions, statistical models and methods such as Linear and Logistic regression, Hidden Markov Models, (Hidden) Conditional Random Fields, Principal Component Analysis, Partial Least Squares, Discriminant Analysis, Kernel methods and functions and many other related techniques. Provides methods for computing variances, standard deviations, averages, and many other statistical measures. This package is part of the Accord.NET Framework.

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. 
.NET Core netcoreapp1.0 was computed.  netcoreapp1.1 was computed.  netcoreapp2.0 was computed.  netcoreapp2.1 was computed.  netcoreapp2.2 was computed.  netcoreapp3.0 was computed.  netcoreapp3.1 was computed. 
.NET Standard netstandard1.4 is compatible.  netstandard1.5 was computed.  netstandard1.6 was computed.  netstandard2.0 is compatible.  netstandard2.1 was computed. 
.NET Framework net35 is compatible.  net40 is compatible.  net403 was computed.  net45 is compatible.  net451 was computed.  net452 was computed.  net46 is compatible.  net461 was computed.  net462 is compatible.  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 tizen30 was computed.  tizen40 was computed.  tizen60 was computed. 
Universal Windows Platform uap was computed.  uap10.0 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)
Additional computed target framework(s)
Learn more about Target Frameworks and .NET Standard.

NuGet packages (41)

Showing the top 5 NuGet packages that depend on Accord.Statistics:

Package Downloads

Contains Support Vector Machines, Decision Trees, Naive Bayesian models, K-means, Gaussian Mixture models and general algorithms such as Ransac, Cross-validation and Grid-Search for machine-learning applications. This package is part of the Accord.NET Framework.


Contains interest point detectors (SURF and FAST), image matching and image stitching methods. This package is part of the Accord.NET Framework.


Contains Fuzzy logic tools, such as fuzzy sets, linguistic variables and inference systems. This package originated from the AForge.NET Framework and is part of the Accord.NET Framework.

QuantConnect.Algorithm.Framework The ID prefix of this package has been reserved for one of the owners of this package by

QuantConnect LEAN Engine: Algorithm.Framework Project - The core QCAlgorithm framework implementation

QuantConnect.Algorithm.CSharp The ID prefix of this package has been reserved for one of the owners of this package by

QuantConnect LEAN Engine: Algorithm.CSharp Project - A collection of C# algorithm demonstrations for how to use the API

GitHub repositories (9)

Showing the top 5 popular GitHub repositories that depend on Accord.Statistics:

Repository Stars
Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
Machine learning, computer vision, statistics and general scientific computing for .NET
DSLR camera remote control open source software
Advanced image processing and computer vision algorithms made as fluent extensions and built for portability
Keras# initiated as an effort to port the Keras deep learning library to C#, supporting both TensorFlow and CNTK
Version Downloads Last updated
3.8.2-alpha 199,106 11/7/2017
3.8.1-alpha 3,821 10/26/2017
3.8.0 2,389,780 10/19/2017
3.7.3-alpha 2,626 10/17/2017
3.7.2-alpha 9,354 9/22/2017
3.7.1-alpha 2,419 9/11/2017
3.7.0 39,343 8/20/2017
3.6.4-alpha 2,382 8/12/2017
3.6.3-alpha 2,605 7/16/2017
3.6.2-alpha 2,384 7/14/2017
3.6.1-alpha 2,448 7/9/2017
3.6.0 471,290 7/7/2017
3.5.4-alpha 5,646 6/18/2017
3.5.3-alpha 2,397 6/17/2017
3.5.2-alpha 2,611 6/11/2017
3.5.1-alpha 2,520 6/10/2017
3.5.0 49,126 5/21/2017
3.4.2-alpha 5,479 2/21/2017
3.4.1-alpha 3,067 1/16/2017
3.4.0 38,419 1/11/2017
3.3.2-alpha 3,479 1/6/2017
3.3.1-alpha 3,265 10/7/2016
3.3.0 39,310 9/16/2016
3.2.3-alpha 6,008 9/10/2016
3.2.2-alpha 2,474 9/4/2016
3.2.1-alpha 2,450 9/3/2016
3.2.0 15,486 8/20/2016
3.1.0-alpha 2,975 6/6/2016
3.0.2 159,316 8/16/2015
3.0.1-alpha 3,365 5/25/2015
3.0.0-alpha 2,599 5/24/2015
2.15.0 39,741 5/1/2015
2.14.6-alpha 2,535 4/27/2015
2.14.5-alpha 2,764 4/9/2015
2.14.4-alpha 2,369 3/15/2015
2.14.3-alpha 2,596 2/24/2015
2.14.2-alpha 2,584 2/8/2015
2.14.1-alpha 2,297 2/7/2015
2.14.0 21,078 12/8/2014
2.13.1 9,473 9/5/2014
2.12.0 18,399 1/5/2014
2.11.0 10,689 11/5/2013
2.10.0 3,955 9/7/2013
2.8.1 12,599 12/20/2012
2.8.0 7,573 11/6/2012
2.7.0 3,944 7/14/2012
2.6.1 1,996 5/5/2012 1,933 4/3/2012