stdlib-js/math-base-special-log1p

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.

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.

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.

Uniformly distributed pseudorandom numbers between 0 and 1.

Insert supplied variable values into a format string.

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.

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

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.

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

Write data to a file.

Compile a module for evaluating a polynomial.

Compile a C function for evaluating a polynomial.

Return the part of a string after a specified substring.

Return the part of a string before a specified substring.

Evaluate ln(1+x) - x.

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

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

Inverse incomplete beta function.

Negative binomial distribution.

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

Incomplete beta function and its first derivative.

Beta function.

Compute the inverse of a one-parameter Box-Cox transformation.

Incomplete gamma function.

Compute the ratio of two gamma functions.

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

Binomial distribution probability mass function (PMF).

Beta distribution logarithm of probability density function (PDF).

Beta distribution probability density function (PDF).

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

Natural logarithm of the beta function.

Compute gamma(x+1) - 1.

Gamma distribution logarithm of probability density function (PDF).

Gamma distribution probability density function (PDF).

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

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

Compute the natural logarithm of exp(x) + exp(y).

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

F distribution probability density function (PDF).

Logistic distribution logarithm of cumulative distribution function (CDF).

Logistic distribution logarithm of probability density function (PDF).

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

Negative binomial distribution probability mass function (PMF).

Rayleigh distribution logarithm of cumulative distribution function (CDF).

Weibull distribution logarithm of cumulative distribution function (CDF).

Cauchy distribution logarithm of probability density function (logPDF).

Geometric distribution logarithm of cumulative distribution function (CDF).

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

Compute a one-parameter Box-Cox transformation of 1+x.

Compute the inverse of a one-parameter Box-Cox transformation for 1+x.