stdlib-js/math-base-special-min

Double-precision floating-point negative infinity.

Test if a double-precision floating-point numeric value is NaN.

Test if a double-precision floating-point numeric value is negative zero.

C APIs for registering a Node-API module exporting an interface for invoking a binary numerical function.

Load a manifest for compiling source files.

Test if a double-precision floating-point numeric value is positive zero.

A linear congruential pseudorandom number generator (LCG) whose output is shuffled.

Uniformly distributed pseudorandom numbers between 0 and 1.

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 cases including unit tests, server side functional tests and browser tests. Built for scale

Minimal TAP output formatter.

Benchmark harness.

Incomplete gamma function.

Natural logarithm of the beta function.

Inverse incomplete gamma function.

Inverse incomplete beta function.

Gamma distribution logarithm of probability density function (PDF).

Hypergeometric distribution probability mass function (PMF).

Incomplete beta function and its first derivative.

Gamma distribution probability density function (PDF).

Hypergeometric distribution cumulative distribution function (CDF).

Negative binomial distribution probability mass function (PMF).

Hypergeometric distribution quantile function.

Natural logarithm of the probability mass function (PMF) for a negative binomial distribution.

Natural logarithm of the probability mass function (PMF) for a hypergeometric distribution.

Return the minimum absolute value.

F distribution probability density function (PDF).

Calculates the Levenshtein (edit) distance between two strings.

Base (i.e., lower-level) special math functions.

Polygamma function.

Locally-weighted polynomial regression via the LOWESS algorithm.

Adjust supplied p-values for multiple comparisons via a specified method.

Two-dimensional kernel density estimation.

Perform a chi-square independence test.

Return the minimum value, ignoring NaN.

Compute a Pearson product-moment correlation test between paired samples.

Typed array pool.

Two-sample F-test for equal variances