Laplace distribution constructor.
JavaScript
2
0
Apache License 2.0
This project provides a constructor for creating Laplace distribution objects, which are used in statistics for modeling continuous probability distributions. It's part of stdlib, a comprehensive JavaScript library for numerical and scientific computing, and is intended for developers and researchers who need to work with Laplace distributions in their applications, particularly those requiring statistical analysis or probability calculations.
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Support the dependencies of stdlib-js/stats-base-dists-laplace-ctor
Test if a value is NaN.
Test if a value is a number.
Test if a value is a number having a positive value.
Laplace distribution cumulative distribution function (CDF).
Laplace distribution differential entropy.
Laplace distribution excess kurtosis.
Laplace distribution logarithm of cumulative distribution function (CDF).
Laplace distribution logarithm of probability density function (PDF).
Laplace distribution expected value.
Laplace distribution median.
Laplace (Double Exponential) distribution moment-generating function (MGF).
Laplace distribution mode.
Laplace distribution probability density function (PDF).
Laplace distribution quantile function.
Laplace distribution skewness.
Laplace distribution standard deviation.
Laplace distribution variance.
Insert supplied variable values into a format string.
Define a non-enumerable read-only accessor.
Define a non-enumerable read-only property.
Define (or modify) an object property.
Format an error message for production.
Test if an object has a specified property.
Test if a value is a function.
Difference between one and the smallest value greater than one that can be represented as a double-precision floating-point number.
Test if a double-precision floating-point numeric value is NaN.
Create an array containing pseudorandom numbers drawn from a continuous uniform distribution.
tap-producing test harness for node and browsers
Yet another JS code coverage tool that computes statement, line, function and branch coverage with module loader hooks to transparently add coverage when running tests. Supports all JS coverage use cases including unit tests, server side functional tests and browser tests. Built for scale
Minimal TAP output formatter.
Benchmark harness.
Support the repos that depend on stdlib-js/stats-base-dists-laplace-ctor
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