stdlib-js/stats-chi2gof

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

Float64Array.

Test if an object has a specified property.

Test if a value is a boolean.

Test if a value is a collection.

Test if a value is NaN.

Test if a value is ndarray-like.

Test if a value is a number having a nonnegative integer value.

Test if a value is a number.

Test if a value is a plain object.

Test if a value is a number having a positive integer value.

Test if a value is a string.

Multiply a vector x by a constant and add the result to y.

Multiply a double-precision floating-point vector by a constant.

Fill a double-precision floating-point strided array with a specified scalar constant.

Calculate the sum of double-precision floating-point strided array elements using pairwise summation.

Double-precision floating-point positive infinity.

Square root of double-precision floating-point epsilon.

Round a double-precision floating-point number to the nearest multiple of 10^n.

Compute the absolute difference of two real numbers.

Sample elements from an array-like object.

Bernoulli distribution probability mass function (PMF).

Binomial distribution probability mass function (PMF).

Chi-squared distribution cumulative distribution function (CDF).

Discrete uniform distribution probability mass function (PMF).

Geometric distribution probability mass function (PMF).

Hypergeometric distribution probability mass function (PMF).

Negative binomial distribution probability mass function (PMF).

Poisson distribution probability mass function (PMF).

Insert supplied variable values into a format string.

stdlib TypeScript type declarations.

Define a non-enumerable read-only accessor.

Define a non-enumerable read-only property.

Format an error message for production.

Int32Array.

Test if an array-like value contains a search value.

Test if a value is an object.

Difference between one and the smallest value greater than one that can be represented as a double-precision floating-point number.

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

Return the maximum value.

Discrete uniform distributed pseudorandom numbers.

Poisson distributed random numbers.

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.