Determine the minimum array data type for storing a provided unsigned integer value.
Return a constructor for creating a two-sample Z-test results object.
Compute the sum of a one-dimensional double-precision floating-point ndarray, ignoring NaN values.
Interchange two vectors.
Adds 'smart plugin' support to your base application.
Convert a single-precision floating-point number to an unsigned 32-bit integer.
Compute the sum of three double-precision floating-point numbers.
Flatten an object.
Rayleigh distribution excess kurtosis.
Compute the sum of a one-dimensional single-precision floating-point ndarray, ignoring `NaN` values and using ordinary recursive summation.
Compute the sum of a one-dimensional single-precision floating-point ndarray, ignoring `NaN` values.
Laplace distribution differential entropy.
List of typed array real-valued data types.
Lévy distribution expected value.
Lévy distribution median.
Laplace distribution excess kurtosis.
Find [nd-]array min/max values
Convert a strided array to a four-dimensional nested array.
Triangular distribution constructor.
Degenerate distribution standard deviation.
Calculate the sum of strided array elements, ignoring NaN values and using pairwise summation.
The best of both `JSON.stringify(obj)` and `JSON.stringify(obj, null, indent)`.
All kinds of utility functions
Compute the sum of all elements in a one-dimensional double-precision complex floating-point ndarray using an improved Kahan–Babuška algorithm.