stats-strided-scumax
Calculate the cumulative maximum of single-precision floating-point strided array elements.
stats-base-dists-planck-kurtosis
Planck (discrete exponential) distribution excess kurtosis.
stats-strided-svariancepn
Calculate the variance of a single-precision floating-point strided array using a two-pass algorithm.
@stdlib/math-strided-special-asinh-by
Compute the hyperbolic arcsine of each element retrieved from an input strided array via a callback function.
math-base-special-xlogyf
Compute `x * ln(y)` so that the result is `0` if `x = 0` for single-precision floating-point numbers `x` and `y`.
math-base-special-roundf
Round a single-precision floating-point number to the nearest integer.
@stdlib/random-strided-bernoulli
Fill a strided array with pseudorandom numbers drawn from a Bernoulli distribution.
blas-ext-base-ndarray-ssum
Compute the sum of all elements in a one-dimensional single-precision floating-point ndarray.
blas-ext-base-ndarray-zsum
Compute the sum of all elements in a one-dimensional double-precision complex floating-point ndarray.
math-base-special-sech
Compute the hyperbolic secant of a double-precision floating-point number.
stats-array-variancetk
Calculate the variance of an array using a one-pass textbook algorithm.
stats-base-ztest-one-sample-results-to-string
Serialize a one-sample Z-test results object as a formatted string.
@stdlib/slice-base-sargs2multislice
Create a MultiSlice object from a comma-separated list of string-serialized MultiSlice constructor arguments.
stats-strided-scumin
Calculate the cumulative minimum of single-precision floating-point strided array elements.
@stdlib/array-base-binary3d
Apply a binary callback to elements in three-dimensional nested input arrays and assign results to elements in a three-dimensional nested output array.
@stdlib/math-base-special-asind
Compute the arcsine (in degrees) of a double-precision floating-point number.
@stdlib/math-base-special-acotd
Compute the arccotangent (in degrees) of a double-precision floating-point number.
stats-strided-sstdevtk
Calculate the standard deviation of a single-precision floating-point strided array using a one-pass textbook algorithm.
stats-strided-smin
Calculate the minimum value of a single-precision floating-point strided array.
stats-strided-svariancech
Calculate the variance of a single-precision floating-point strided array using a one-pass trial mean algorithm.
number-float64-base-add4
Compute the sum of four double-precision floating-point numbers.
ndarray-base-unary-reduce-strided1d-assign-struct
Perform a reduction over a list of specified dimensions in an input ndarray via a one-dimensional strided array reduction function and assign results to a provided output ndarray.
stats-strided-dztest
Compute a one-sample Z-test for a double-precision floating-point strided array.
@stdlib/array-base-from-strided
Convert a strided array to a non-strided generic array.
@stdlib/array-base-map5d
Apply a function to elements in a five-dimensional nested input array and assign results to elements in a new five-dimensional nested output array.
math-base-special-havercosf
Compute the half-value versed cosine of a single-precision floating-point number (in radians).
array-base-broadcasted-quaternary5d
Apply a quaternary callback to elements in four broadcasted input arrays and assign results to elements in a five-dimensional nested output array.
stats-strided-dnanmeanpn
Calculate the arithmetic mean of a double-precision floating-point strided array, ignoring NaN values and using a two-pass error correction algorithm.
stats-array-min-by
Calculate the minimum value of an array via a callback function.
stats-base-dists-planck-quantile
Planck (discrete exponential) distribution quantile function.
math-base-special-maxf
Return the maximum single-precision floating-point number.
array-base-unary5d-by
Apply a unary function to each element retrieved from a five-dimensional nested input array according to a callback function and assign results to elements in a five-dimensional nested output array.
@stdlib/random-strided-mt19937
Fill a strided array with pseudorandom numbers generated using a 32-bit Mersenne Twister pseudorandom number generator.
@stdlib/array-base-fancy-slice-assign
Assign element values from a broadcasted input array to corresponding elements in an output array.
stats-strided-drange
Calculate the range of a double-precision floating-point strided array.
@stdlib/random-array-pareto-type1
Create an array containing pseudorandom numbers drawn from a Pareto (Type I) distribution.
math-base-special-nanmaxf
Return the maximum value of two single-precision floating-point numbers, ignoring NaN.
@stdlib/math-base-ops-add4
Compute the sum of four double-precision floating-point numbers.
math-base-special-minf
Return the minimum single-precision floating-point number.
@stdlib/blas-ext-base-gnansumpw
Calculate the sum of strided array elements, ignoring NaN values and using pairwise summation.
@stdlib/random-array-binomial
Create an array containing pseudorandom numbers drawn from a binomial distribution.
ndarray-vector-int8
Create a signed 8-bit integer vector (i.e., a one-dimensional ndarray).
@stdlib/complex-float32-base-add
Add two single-precision complex floating-point numbers.
stats-strided-srange
Calculate the range of a single-precision floating-point strided array.
stats-strided-dvarm
Calculate the variance of a double-precision floating-point strided array provided a known mean.