Please switch to one of the NMath.Standard packages.
dotnet add package CenterSpace.NMath.Stats --version 22.214.171.124
NuGet\Install-Package CenterSpace.NMath.Stats -Version 126.96.36.199
<PackageReference Include="CenterSpace.NMath.Stats" Version="188.8.131.52" />
paket add CenterSpace.NMath.Stats --version 184.108.40.206
#r "nuget: CenterSpace.NMath.Stats, 220.127.116.11"
// Install CenterSpace.NMath.Stats as a Cake Addin #addin nuget:?package=CenterSpace.NMath.Stats&version=18.104.22.168 // Install CenterSpace.NMath.Stats as a Cake Tool #tool nuget:?package=CenterSpace.NMath.Stats&version=22.214.171.124
Classes for data manipulation and statistical computation, including descriptive statistics, probability distributions, combinatorial functions, multiple linear regression, hypothesis testing, analysis of variance, multivariate statistics, partial least squares, and nonnegative matrix factorization.
|Product||Versions Compatible and additional computed target framework versions.|
|.NET Framework||net40 is compatible. net403 was computed. net45 was computed. net451 was computed. net452 was computed. net46 was computed. net461 was computed. net462 was computed. net463 was computed. net47 was computed. net471 was computed. net472 was computed. net48 was computed. net481 was computed.|
- CenterSpace.NMath (= 126.96.36.199)
NuGet packages (1)
Showing the top 1 NuGet packages that depend on CenterSpace.NMath.Stats:
Charting for CenterSpace.NMath.Stats types using the Microsoft Chart Controls for .NET, creating a complete data analysis and visualization solution.
This package is not used by any popular GitHub repositories.
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.