pi.science.api 1.1.4

Scientific library.

There is a newer version of this package available.
See the version list below for details.
Install-Package pi.science.api -Version 1.1.4
dotnet add package pi.science.api --version 1.1.4
<PackageReference Include="pi.science.api" Version="1.1.4" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add pi.science.api --version 1.1.4
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).
  • 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).

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).
  • 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).

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.PIExponentialDistribution.
+ Added test class pi.science.distribution.test.PIExponentialDistributionTest.
+ Added class pi.science.distribution.PIPoissonDistribution.
+ Added class pi.science.math.PIMathUtils.
+ Added method pi.science.math.PIMathUtils.Factorial().
# Added (alies) method pi.science.distribution.PIDistribution.GetPDF().
# Added (alies) method pi.science.distribution.PIDistribution.GetCDF().
# Added (alies) method pi.science.distribution.PIDistribution.GetInverseCDF().
# Added pi.science.api.PIConfiguration.DebugMode for internal debugging support.
+ Added class pi.science.distribution.PIErlangDistribution.
# pi.science.math.PIGamma.Gamma_Lanczos() renamed to pi.science.math.PIGamma.Calc().
+ Added class pi.science.math.PIGammaIncomplete.
+ Added test class pi.science.math.test.PIGammaIncompleteTest.
+ Added class pi.science.distribution.text.PIErlangDistributionTest.
# pi.science.smoothing.PIMovingAverageSmoothing - corrected calculation for SIMPLE
 type (new approach, different from Excel approach).
# pi.science.statistic.PITwoVariables: GetME(), GetMSE(), GetMAE(), GetMAPE(), GetMPE()
 corrected for computing with NULL values: NULL values are omitted.

  • .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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