The `stdlib-js/stats-base-dists-lognormal-cdf` repository provides a JavaScript function to evaluate the cumulative distribution function (CDF) of a lognormal distribution. This is part of the stdlib project, a standard library for JavaScript and Node.js with an emphasis on numerical and scientific computing, and is intended for developers working on statistical or scientific applications that require lognormal distribution calculations.
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Support the dependencies of stdlib-js/stats-base-dists-lognormal-cdf
Test if a double-precision floating-point numeric value is NaN.
Evaluate the natural logarithm of a double-precision floating-point number.
Normal distribution cumulative distribution function (CDF).
Constant function.
Define a non-enumerable read-only property.
Insert array element values and the result of a callback function into a format string and print the result.
Difference between one and the smallest value greater than one that can be represented as a double-precision floating-point number.
Double-precision floating-point negative infinity.
Double-precision floating-point positive infinity.
Compute the absolute value of a double-precision floating-point number.
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 ca
Minimal TAP output formatter.
Benchmark harness.
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