pi.science.api 1.1.2

Scientific library.

There is a newer version of this package available.
See the version list below for details.
Install-Package pi.science.api -Version 1.1.2
dotnet add package pi.science.api --version 1.1.2
<PackageReference Include="pi.science.api" Version="1.1.2" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add pi.science.api --version 1.1.2
The NuGet Team does not provide support for this client. Please contact its maintainers for support.

PI Science API

Scientific library for .NET (standard 2.0).

Supported areas:

  • Statistics (descriptive statistics, statistics classes) .
  • Math (matrices, Cramer`s rule, gamma function, beta function, error function).
  • Regression (linear, polynomial, exponential, exponential modified, power, Gompertz, logistic).
  • Smoothing (moving average, median smoothing, simple exponential smoothing, double exponential smoothing).
  • Probability distribution (normal distribution, chi-square distribution, students distribution, f distribution, log-normal distribution).

Examples

Examples for every area you can find here.

HTML documentation included (for download here.).

TEST classes you can download here.

Scheduled areas for next development:

Integrals, correlations, interpolations, hypothesis testing, fractions support, neural networks, graph algorithms, cluster analysis...

PI Science API

Scientific library for .NET (standard 2.0).

Supported areas:

  • Statistics (descriptive statistics, statistics classes) .
  • Math (matrices, Cramer`s rule, gamma function, beta function, error function).
  • Regression (linear, polynomial, exponential, exponential modified, power, Gompertz, logistic).
  • Smoothing (moving average, median smoothing, simple exponential smoothing, double exponential smoothing).
  • Probability distribution (normal distribution, chi-square distribution, students distribution, f distribution, log-normal distribution).

Examples

Examples for every area you can find here.

HTML documentation included (for download here.).

TEST classes you can download here.

Scheduled areas for next development:

Integrals, correlations, interpolations, hypothesis testing, fractions support, neural networks, graph algorithms, cluster analysis...

Release Notes

+ Added class pi.science.distribution.PILogNormalDistribution.
+ Added test class pi.science.distribution.test.PILogNormalDistributionTest.
# pi.science.distribution.PINormalDistribution.GetSd() renamed to GetSD().
# pi.science.distribution.PINormalDistribution.SetSd() renamed to SetSD().
+ Added class pi.science.math.PIError.
+ Added test class pi.science.math.test.PIErrorTest.

  • .NETStandard 2.0

    • No dependencies.

This package is not used by any popular GitHub repositories.

Version History

Version Downloads Last updated
1.3.0 168 1/1/2020
1.2.8 70 9/24/2019
1.2.6 71 8/21/2019
1.2.4 79 7/31/2019
1.2.2 87 7/9/2019
1.2.0 80 6/27/2019
1.1.8 84 6/23/2019
1.1.6 88 6/14/2019
1.1.4 86 6/14/2019
1.1.2 96 6/11/2019
1.1.0 101 6/9/2019
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