.NET Framework 4.0
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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There is a newer version of this package available.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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.NET Framework net40 net403 net45 net451 net452 net46 net461 net462 net463 net47 net471 net472 net48
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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 3,118 1/10/2020 651 12/3/2019 1,738 9/27/2019 1,422 7/23/2019 623 6/30/2019 856 4/20/2019 627 4/15/2019 609 3/23/2019 811 1/5/2019 699 1/3/2019 682 12/25/2018 727 12/13/2018 730 11/23/2018 1,331 8/11/2018 8,904 4/16/2018 1,124 3/10/2018 4,662 2/13/2018 1,068 1/31/2018 1,066 1/20/2018 1,098 1/1/2018 971 12/14/2017 1,061 12/10/2017 1,039 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.