stdlib-js/math-base-special-ln

The bias of a double-precision floating-point number's exponent.

Double-precision floating-point negative infinity.

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 unary numerical function.

Return an unsigned 32-bit integer corresponding to the more significant 32 bits of a double-precision floating-point number.

Set the more significant 32 bits of a double-precision floating-point number.

Load a manifest for compiling source files.

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 positive infinity.

Read the entire contents of a file.

Write data to a file.

Compute the absolute value of a double-precision floating-point number.

Round a numeric value to the nearest integer.

Compile a module for evaluating a polynomial.

Compile a C function for evaluating a polynomial.

Uniformly distributed pseudorandom numbers between 0 and 1.

Insert supplied variable values into a format string.

Return the part of a string after a specified substring.

Return the part of a string before a specified substring.

Current year.

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.

Normally distributed pseudorandom numbers using the improved Ziggurat method.

Natural logarithm of the gamma function.

Gamma distributed pseudorandom numbers.

Digamma function.

Inverse complementary error function.

Normally distributed pseudorandom numbers using the Box-Muller transform.

Beta distributed pseudorandom numbers.

Incomplete gamma function.

Natural logarithm of the beta function.

Binomial distributed pseudorandom numbers.

Exponentially distributed pseudorandom numbers.

Poisson distributed random numbers.

Weibull distributed pseudorandom numbers.

Geometric distributed pseudorandom numbers.

Laplace (double exponential) distributed pseudorandom numbers.

Rayleigh distributed pseudorandom numbers.

Fréchet distributed pseudorandom numbers.

Gumbel distributed pseudorandom numbers.

Erlang distributed pseudorandom numbers.

Logistic distributed pseudorandom numbers.

Inverse incomplete gamma function.

Inverse incomplete beta function.

Beta prime distribution logarithm of probability density function (PDF).

Riemann Zeta function.

Binomial distribution probability mass function (PMF).

Lognormal distribution cumulative distribution function (CDF).

Gamma distribution logarithm of probability density function (PDF).

Compute the hyperbolic arccosine of a double-precision floating-point number.

Incomplete beta function and its first derivative.

Compute the natural logarithm of the binomial coefficient.

Gamma distribution probability density function (PDF).

Compute the complete elliptic integral of the first kind.

Compute the hyperbolic arcsine of a double-precision floating-point number.

Fréchet distribution logarithm of probability density function (PDF).

Poisson distribution probability mass function (PMF).

Round a numeric value to the nearest number toward negative infinity with N significant figures.