stdlib-js/math-base-special-log1p

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

Double-precision floating-point negative infinity.

Double-precision floating-point positive 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.

Read the entire contents of a file.

Write data to a file.

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

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

Evaluate the natural logarithm 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.

Generate a linearly spaced numeric array according to a provided increment.

Beta function.

Natural logarithm of the beta function.

Incomplete gamma function.

Compute the ratio of two gamma functions.

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

Inverse incomplete beta function.

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

Binomial distribution probability mass function (PMF).

Gamma distribution logarithm of probability density function (PDF).

Incomplete beta function and its first derivative.

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

Gamma distribution probability density function (PDF).

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

Natural logarithm of the cumulative distribution function (CDF) for a normal distribution.

Compute gamma(x+1) - 1.

Negative binomial distribution probability mass function (PMF).

Weibull distribution logarithm of cumulative distribution function (CDF).

Geometric distribution logarithm of cumulative distribution function (CDF).

Logistic distribution logarithm of cumulative distribution function (CDF).

Beta distribution probability density function (PDF).

Geometric distribution quantile function.

Compute sqrt(1 + x) - 1.

Evaluate the natural logarithm of 1-exp(-|x|).

Beta distribution logarithm of probability density function (PDF).

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

Natural logarithm of the cumulative distribution function (CDF) for a Student's t distribution.

Natural logarithm of the cumulative distribution function (CDF)for a Pareto (Type I) distribution.

Evaluate the natural logarithm of 1+exp(x).

Cauchy distribution logarithm of probability density function (logPDF).

Rayleigh distribution logarithm of cumulative distribution function (CDF).

Evaluate ln(1+x) - x.

Rayleigh distribution quantile function.

Laplace distribution logarithm of cumulative distribution function (CDF).

F distribution probability density function (PDF).

Natural logarithm of the cumulative distribution function (CDF) for an exponential distribution.

Logistic distribution logarithm of probability density function (PDF).