Accord.Statistics
2.10.0
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. This package is part of the Accord.NET Framework.
There is a newer version of this package available.
See the version list below for details.
See the version list below for details.
InstallPackage Accord.Statistics Version 2.10.0
dotnet add package Accord.Statistics version 2.10.0
<PackageReference Include="Accord.Statistics" Version="2.10.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Accord.Statistics version 2.10.0
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
Dependencies

 Accord (>= 2.10.0)
 Accord.Math (>= 2.10.0)
 AForge (>= 2.2.5)
 AForge.Math (>= 2.2.5)
GitHub Usage
Showing the top 7 GitHub repositories that depend on Accord.Statistics:
Repository  Stars  

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


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


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
An ongoing effort to port the Keras deep learning library to C#, supporting both TensorFlow and CNTK


toggl/mobileapp
Toggl's mobile apps


ArmenAg/Improvisation
A program that learns music structure of given midi files and able to generate new melodies by judmental of other compositions. E.g. generate melody in style of Armstrong as negatively judged by Eminem and positively by Bach.

Version History
Version  Downloads  Last updated  

3.8.2alpha  45,441  11/7/2017  
3.8.1alpha  1,358  10/26/2017  
3.8.0  242,476  10/19/2017  
3.7.3alpha  297  10/17/2017  
3.7.2alpha  5,216  9/22/2017  
3.7.1alpha  392  9/11/2017  
3.7.0  10,109  8/20/2017  
3.6.4alpha  355  8/12/2017  
3.6.3alpha  501  7/16/2017  
3.6.2alpha  295  7/14/2017  
3.6.1alpha  323  7/9/2017  
3.6.0  44,749  7/7/2017  
3.5.4alpha  3,422  6/18/2017  
3.5.3alpha  291  6/17/2017  
3.5.2alpha  504  6/11/2017  
3.5.1alpha  417  6/10/2017  
3.5.0  14,916  5/21/2017  
3.4.2alpha  2,428  2/21/2017  
3.4.1alpha  985  1/16/2017  
3.4.0  20,076  1/11/2017  
3.3.2alpha  1,300  1/6/2017  
3.3.1alpha  1,174  10/7/2016  
3.3.0  18,966  9/16/2016  
3.2.3alpha  3,927  9/10/2016  
3.2.2alpha  429  9/4/2016  
3.2.1alpha  374  9/3/2016  
3.2.0  10,971  8/20/2016  
3.1.0alpha  903  6/6/2016  
3.0.2  60,378  8/16/2015  
3.0.1alpha  1,173  5/25/2015  
3.0.0alpha  500  5/24/2015  
2.15.0  7,072  5/1/2015  
2.14.6alpha  524  4/27/2015  
2.14.5alpha  909  4/9/2015  
2.14.4alpha  588  3/15/2015  
2.14.3alpha  561  2/24/2015  
2.14.2alpha  607  2/8/2015  
2.14.1alpha  505  2/7/2015  
2.14.0  8,976  12/8/2014  
2.13.1  6,543  9/5/2014  
2.12.0  11,968  1/5/2014  
2.11.0  1,817  11/5/2013  
2.10.0  1,117  9/7/2013  
2.8.1  7,295  12/20/2012  
2.8.0  1,747  11/6/2012  
2.7.0  1,126  7/14/2012  
2.6.1  950  5/5/2012  
2.6.0.1  822  4/3/2012 