This package calculates the cumulative distribution function (CDF) for a triangular distribution, which is a continuous probability distribution with a triangular shape defined by three parameters: the lower limit (a), upper limit (b), and mode (c). It is part of stdlib, a JavaScript library for numerical and scientific computing, and is designed for developers who need to perform statistical calculations involving triangular distributions, particularly in web or Node.js environments.
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Support the dependencies of stdlib-js/stats-base-dists-triangular-cdf
Test if a double-precision floating-point numeric value is NaN.
C APIs for registering a Node-API module exporting an interface for invoking a quaternary numerical function.
Exponential function.
Constant function.
Define a non-enumerable read-only property.
Load a manifest for compiling source files.
Float64Array.
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.
Uniformly distributed pseudorandom numbers between 0 and 1.
Uniformly distributed pseudorandom numbers.
Insert supplied variable values into a format string.
Wrap `require` in a try/catch block.
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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