Accord.Statistics
3.5.4alpha
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.
This is a prerelease version of Accord.Statistics.
There is a newer version of this package available.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 3.5.4alpha
dotnet add package Accord.Statistics version 3.5.4alpha
<PackageReference Include="Accord.Statistics" Version="3.5.4alpha" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Accord.Statistics version 3.5.4alpha
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
Dependencies

 Accord (>= 3.5.4alpha)
 Accord.Math (>= 3.5.4alpha)
Used By
GitHub repositories (7+)
Showing the top 5 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

Version History
Version  Downloads  Last updated  

3.8.2alpha  78,451  11/7/2017  
3.8.1alpha  1,639  10/26/2017  
3.8.0  471,955  10/19/2017  
3.7.3alpha  551  10/17/2017  
3.7.2alpha  6,082  9/22/2017  
3.7.1alpha  583  9/11/2017  
3.7.0  13,326  8/20/2017  
3.6.4alpha  552  8/12/2017  
3.6.3alpha  708  7/16/2017  
3.6.2alpha  513  7/14/2017  
3.6.1alpha  541  7/9/2017  
3.6.0  69,478  7/7/2017  
3.5.4alpha  3,640  6/18/2017  
3.5.3alpha  501  6/17/2017  
3.5.2alpha  708  6/11/2017  
3.5.1alpha  618  6/10/2017  
3.5.0  18,970  5/21/2017  
3.4.2alpha  2,676  2/21/2017  
3.4.1alpha  1,230  1/16/2017  
3.4.0  23,316  1/11/2017  
3.3.2alpha  1,605  1/6/2017  
3.3.1alpha  1,390  10/7/2016  
3.3.0  22,581  9/16/2016  
3.2.3alpha  4,160  9/10/2016  
3.2.2alpha  655  9/4/2016  
3.2.1alpha  584  9/3/2016  
3.2.0  11,567  8/20/2016  
3.1.0alpha  1,111  6/6/2016  
3.0.2  77,255  8/16/2015  
3.0.1alpha  1,414  5/25/2015  
3.0.0alpha  689  5/24/2015  
2.15.0  7,463  5/1/2015  
2.14.6alpha  706  4/27/2015  
2.14.5alpha  1,113  4/9/2015  
2.14.4alpha  767  3/15/2015  
2.14.3alpha  751  2/24/2015  
2.14.2alpha  791  2/8/2015  
2.14.1alpha  683  2/7/2015  
2.14.0  9,842  12/8/2014  
2.13.1  6,756  9/5/2014  
2.12.0  12,695  1/5/2014  
2.11.0  2,008  11/5/2013  
2.10.0  1,326  9/7/2013  
2.8.1  7,845  12/20/2012  
2.8.0  2,242  11/6/2012  
2.7.0  1,340  7/14/2012  
2.6.1  1,083  5/5/2012  
2.6.0.1  959  4/3/2012 