pi.science.api 1.2.6

Scientific library.

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.

This package is not used by any popular GitHub repositories.

Version History

Version Downloads Last updated
1.2.6 42 8/21/2019
1.2.4 52 7/31/2019
1.2.2 59 7/9/2019
1.2.0 54 6/27/2019
1.1.8 58 6/23/2019
1.1.6 60 6/14/2019
1.1.4 59 6/14/2019
1.1.2 69 6/11/2019
1.1.0 76 6/9/2019