pi.science.api 1.2.6

Scientific library.

There is a newer version of this package available.
See the version list below for details.
Install-Package pi.science.api -Version 1.2.6
dotnet add package pi.science.api --version 1.2.6
<PackageReference Include="pi.science.api" Version="1.2.6" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add pi.science.api --version 1.2.6
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,
    Gamma incomplete function, numerical integration-Trapezoidal rule, numerical integration-Rectangle rule,
    numerical integration-Simpsons rule).
  • Discrete math (primes, prime factorization, prime factorization-Fermat).
  • Probability (factorial, combination, Catalan number).
  • 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, exponential distribution,
    Poisson distribution, Erlang distribution, Weibull distribution, Rayleigh distribution, Pareto distribution).
  • Hypothesis testing (Shapiro-Wilk(original), Shapiro-Wilk(expanded), Skewness normality test, Kurtosis normality test, D`Agostino-Pearson normality test, Jarque-Bera normality test).

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,
    Gamma incomplete function, numerical integration-Trapezoidal rule, numerical integration-Rectangle rule,
    numerical integration-Simpsons rule).
  • Discrete math (primes, prime factorization, prime factorization-Fermat).
  • Probability (factorial, combination, Catalan number).
  • 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, exponential distribution,
    Poisson distribution, Erlang distribution, Weibull distribution, Rayleigh distribution, Pareto distribution).
  • Hypothesis testing (Shapiro-Wilk(original), Shapiro-Wilk(expanded), Skewness normality test, Kurtosis normality test, D`Agostino-Pearson normality test, Jarque-Bera normality test).

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 new class pi.science.hypothesistesting.PIKurtosisTest.
+ Added new test class pi.science.hypothesistesting.test.PIKurtosisTestTest.
+ Added new method pi.statistics.api.PIVariable.GetSampleKurtosis() - (Excel version).
+ Added new namespace pi.science.ai.
+ Added new class pi.science.hypothesistesting.PIDAgostinoPearson.
+ Added new test class pi.science.hypothesistesting.test.PIDAgostinoPearsonTest.
+ Added new method pi.statistics.api.PIVariable.SaveToFile().
+ Added new method pi.statistics.api.PIValue.GetValueStr().
+ Added new class pi.science.hypothesistesting.PIJarqueBera.
+ Added new test class pi.science.hypothesistesting.test.PIJarqueBeraTest.
+ Added new method pi.statistics.api.PIVariable.GetKurtosisJarqueBera().

  • .NETStandard 2.0

    • No dependencies.

NuGet packages

This package is not used by any NuGet packages.

GitHub repositories

This package is not used by any popular GitHub repositories.

Version History

Version Downloads Last updated
1.3.4 72 5/11/2020
1.3.2 55 5/11/2020
1.3.0 235 1/1/2020
1.2.8 119 9/24/2019
1.2.6 112 8/21/2019
1.2.4 129 7/31/2019
1.2.2 131 7/9/2019
1.2.0 132 6/27/2019
1.1.8 124 6/23/2019
1.1.6 157 6/14/2019
1.1.4 131 6/14/2019
1.1.2 154 6/11/2019
1.1.0 153 6/9/2019