stdlib-js/stats-base-dists-bernoull...

Bernoulli distribution cumulative distribution function (CDF).

Bernoulli distribution constructor.

Bernoulli distribution entropy.

Bernoulli distribution excess kurtosis.

Bernoulli distribution expected value.

Bernoulli distribution median.

Bernoulli distribution moment-generating function (MGF).

Bernoulli distribution mode.

Bernoulli distribution probability mass function (PMF).

Bernoulli distribution quantile function.

Bernoulli distribution skewness.

Bernoulli distribution standard deviation.

Bernoulli distribution variance.

Define a read-only property.

Test if an object has a specified property.

Test if a value is a function.

Test if a value is a probability.

Insert array element values and the result of a callback function into a format string and print the result.

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.

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

Test if a double-precision floating-point number is a probability.

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

Natural exponential function.

Evaluate the natural logarithm of a double-precision floating-point number.

Compute the principal square root of a double-precision floating-point number.

Create an array containing pseudorandom numbers drawn from a discrete uniform distribution.

Create an array containing pseudorandom numbers drawn from a continuous uniform distribution.

Insert supplied variable values into a format string.

Constant function.

Define a non-enumerable read-only accessor.

Define a non-enumerable read-only property.

Define (or modify) an object property.

Return an array of an object's own enumerable property names.

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.