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Please switch to one of the NMath.Standard packages.

There is a newer version of this package available.
See the version list below for details.
Install-Package CenterSpace.NMath.Stats -Version
dotnet add package CenterSpace.NMath.Stats --version
<PackageReference Include="CenterSpace.NMath.Stats" Version="" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add CenterSpace.NMath.Stats --version
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
#r "nuget: CenterSpace.NMath.Stats,"
#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 CenterSpace.NMath.Stats as a Cake Addin
#addin nuget:?package=CenterSpace.NMath.Stats&version=

// Install CenterSpace.NMath.Stats as a Cake Tool
#tool nuget:?package=CenterSpace.NMath.Stats&version=
The NuGet Team does not provide support for this client. Please contact its maintainers for support.

If you're targeting .NET Framework (4.6.1 or greater) or .NET Core (2.0 or greater), we recommend switching to one of our NMath 7.0 versions. They're simpler and easier to use. We have three options: Windows, Linux, OSX. All are 64-bit only. More information

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Charting for CenterSpace.NMath.Stats types using the Microsoft Chart Controls for .NET, creating a complete data analysis and visualization solution.

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Version Downloads Last updated 2,142 1/10/2020 483 12/3/2019 1,577 9/27/2019 1,202 7/23/2019 466 6/30/2019 699 4/20/2019 470 4/15/2019 448 3/23/2019 660 1/5/2019 542 1/3/2019 515 12/25/2018 556 12/13/2018 581 11/23/2018 1,114 8/11/2018 8,324 4/16/2018 910 3/10/2018 4,006 2/13/2018 836 1/31/2018 829 1/20/2018 870 1/1/2018 765 12/14/2017 841 12/10/2017 819 12/8/2017

Version 4.2 adds classes for performing two way ANOVA with unbalanced designs, for computing
auxiliary statistics for logistic regressions, such as pseudo R-squared metrics and
   odds ratios for the computed coefficients, for evaluation of multivariate PLS models with model
coefficient variance estimates and confidence intervals, and for performing Partial Least Squares Discriminant Analysis (PLS-DA), a variant of PLS used when the response variable is categorical.