Accord.Statistics
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.
There is a newer prerelease version of this package available.
See the version list below for details.
See the version list below for details.
InstallPackage Accord.Statistics Version 3.8.0
dotnet add package Accord.Statistics version 3.8.0
<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
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
#r "nuget: Accord.Statistics, 3.8.0"
#r directive can be used in F# Interactive, C# scripting and .NET Interactive. 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
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
Dependencies

 Accord (>= 3.8.0)
 Accord.Math (>= 3.8.0)
Used By
NuGet packages (38)
Showing the top 5 NuGet packages that depend on Accord.Statistics:
Package  Downloads 

Accord.MachineLearning
Contains Support Vector Machines, Decision Trees, Naive Bayesian models, Kmeans, Gaussian Mixture models and general algorithms such as Ransac, Crossvalidation and GridSearch for machinelearning applications. This package is part of the Accord.NET Framework.


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


Accord.Vision
Realtime face detection and tracking, as well as general methods for detecting, tracking and transforming objects in image streams. Contains Haar cascade definitions, Camshift and Dynamic Template Matching trackers. This package is part of the Accord.NET Framework.


Accord.Controls
Histograms, scatterplots and tabular data viewers for scientific applications. This package is part of the Accord.NET Framework.


Accord.Fuzzy
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.

GitHub repositories (7)
Showing the top 5 popular GitHub repositories that depend on Accord.Statistics:
Repository  Stars 

QuantConnect/Lean
Lean Algorithmic Trading Engine by QuantConnect (C#, Python)


accordnet/framework
Machine learning, computer vision, statistics and general scientific computing for .NET


dukus/digiCamControl
DSLR camera remote control open source software


dajuric/accordnetextensions
Advanced image processing and computer vision algorithms made as fluent extensions and built for portability


cesarsouza/kerassharp
Keras# initiated as an effort to port the Keras deep learning library to C#, supporting both TensorFlow and CNTK

Version History
Version  Downloads  Last updated 

3.8.2alpha  122,322  11/7/2017 
3.8.1alpha  2,430  10/26/2017 
3.8.0  794,166  10/19/2017 
3.7.3alpha  1,245  10/17/2017 
3.7.2alpha  7,282  9/22/2017 
3.7.1alpha  1,207  9/11/2017 
3.7.0  21,283  8/20/2017 
3.6.4alpha  1,154  8/12/2017 
3.6.3alpha  1,357  7/16/2017 
3.6.2alpha  1,192  7/14/2017 
3.6.1alpha  1,162  7/9/2017 
3.6.0  109,323  7/7/2017 
3.5.4alpha  4,288  6/18/2017 
3.5.3alpha  1,139  6/17/2017 
3.5.2alpha  1,359  6/11/2017 
3.5.1alpha  1,258  6/10/2017 
3.5.0  25,188  5/21/2017 
3.4.2alpha  3,371  2/21/2017 
3.4.1alpha  1,874  1/16/2017 
3.4.0  28,082  1/11/2017 
3.3.2alpha  2,273  1/6/2017 
3.3.1alpha  2,009  10/7/2016 
3.3.0  28,184  9/16/2016 
3.2.3alpha  4,808  9/10/2016 
3.2.2alpha  1,254  9/4/2016 
3.2.1alpha  1,223  9/3/2016 
3.2.0  12,342  8/20/2016 
3.1.0alpha  1,745  6/6/2016 
3.0.2  97,306  8/16/2015 
3.0.1alpha  2,063  5/25/2015 
3.0.0alpha  1,332  5/24/2015 
2.15.0  8,131  5/1/2015 
2.14.6alpha  1,262  4/27/2015 
2.14.5alpha  1,638  4/9/2015 
2.14.4alpha  1,319  3/15/2015 
2.14.3alpha  1,281  2/24/2015 
2.14.2alpha  1,352  2/8/2015 
2.14.1alpha  1,234  2/7/2015 
2.14.0  12,383  12/8/2014 
2.13.1  7,231  9/5/2014 
2.12.0  14,167  1/5/2014 
2.11.0  3,232  11/5/2013 
2.10.0  1,882  9/7/2013 
2.8.1  8,988  12/20/2012 
2.8.0  3,579  11/6/2012 
2.7.0  1,883  7/14/2012 
2.6.1  1,366  5/5/2012 
2.6.0.1  1,231  4/3/2012 