@stdlib/ndarray-base-dtype-desc
Return the description for a provided data type.
@stdlib/stats-base-dists-arcsine-logpdf
Arcsine distribution logarithm of probability density function (PDF).
@stdlib/math-base-special-cidentityf
Evaluate the identity function for a single-precision complex floating-point number.
@stdlib/array-base-assert-is-mostly-safe-data-type-cast
Determine if an array data type can be safely cast or, for floating-point data types, downcast to another array data type.
@stdlib/utils-async-some-by
Test whether a collection contains `n` elements which pass a test implemented by a predicate function.
stats-base-mskrange
Calculate the range of a strided array according to a mask.
@stdlib/random-streams-pareto-type1
Create a readable stream for generating pseudorandom numbers drawn from a Pareto (Type I) distribution.
@stdlib/constants-float64-precision
Effective number of bits in the significand of a double-precision floating-point number.
@stdlib/stats-base-dists-rayleigh-entropy
Rayleigh distribution differential entropy.
@stdlib/stats-iter
Standard library functions for computing statistics over iterators.
@stdlib/math-base-special-pdifff
Return the positive difference between `x` and `y`.
@stdlib/math-base-special-fast-alpha-max-plus-beta-min
Compute the hypotenuse using the alpha max plus beta min algorithm.
@stdlib/math-base-special-acosf
Compute the arccosine of a single-precision floating-point number.
@stdlib/stats-base-dists-hypergeometric-cdf
Hypergeometric distribution cumulative distribution function (CDF).
@stdlib/math-iter-special-coversin
Create an iterator which computes the coversed sine for each iterated value.
@stdlib/stats-base-dists-laplace-kurtosis
Laplace distribution excess kurtosis.
@stdlib/stats-base-dists-arcsine-entropy
Arcsine distribution differential entropy.
@stdlib/utils-async-any-by
Test whether at least one element in a collection passes a test implemented by a predicate function.
@stdlib/blas-ext-base-sdsnansum
Calculate the sum of single-precision floating-point strided array elements, ignoring NaN values and using extended accumulation.
average-calculator
📊 Creation of a Grade Average calculator to find out if the final grade was sufficient or not for approval.
@stdlib/math-strided-special-avercos-by
Compute the inverse versed cosine of each element retrieved from an input strided array via a callback function.
@stdlib/math-base-special-kronecker-deltaf
Evaluate the Kronecker delta (single-precision).
@stdlib/stats-base-nanmin-by
Calculate the minimum value of a strided array via a callback function, ignoring NaN values.
@stdlib/blas-ext-base-snansum
Calculate the sum of single-precision floating-point strided array elements, ignoring NaN values.
@stdlib/namespace-pkg2standalone
Return the standalone package name associated with a provided internal package name.
@stdlib/math-iter-special-havercos
Create an iterator which computes the half-value versed cosine for each iterated value.
@stdlib/utils-async-reduce
Apply a function against an accumulator and each element in a collection and return the accumulated result.
@stdlib/stats-base-dists-pareto-type1-entropy
Pareto (Type I) distribution differential entropy.
@stdlib/stats-base-dists-pareto-type1-ctor
Pareto (Type I) distribution constructor.
@stdlib/number-float32-base-significand
Return an integer corresponding to the significand of a single-precision floating-point number.
@stdlib/math-strided-special-dceil
Round each element in a double-precision floating-point strided array toward positive infinity.
@stdlib/constants-float16-precision
Effective number of bits in the significand of a half-precision floating-point number.
math-iter-ops-mod
Create an iterator which performs an element-wise modulo operation of two or more iterators.
@stdlib/stats-base-mskmin
Calculate the minimum value of a strided array according to a mask.
@stdlib/math-base-ops-csubf
Subtract two single-precision complex floating-point numbers.
@stdlib/assert-has-define-properties-support
Detect `Object.defineProperties` support.
@stdlib/stats-base-dsnanmeanors
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values, using ordinary recursive summation with extended accumulation, and returning an extended precision result.
@stdlib/constants-float16-exponent-bias
The bias of a half-precision floating-point number's exponent.
@stdlib/ndarray-base-napi-addon-arguments
C API for validating, extracting, and transforming (to native C types) function arguments provided to an ndarray N-API add-on interface.
@stdlib/math-base-special-sincospi
Simultaneously compute the sine and cosine of a number times π.
@stdlib/random-iter-normal
Create an iterator for generating pseudorandom numbers drawn from a normal distribution.
@stdlib/stats-base-dists-laplace-mgf
Laplace (Double Exponential) distribution moment-generating function (MGF).
@stdlib/stats-base-dists-geometric-quantile
Geometric distribution quantile function.
@stdlib/simulate-iter-bartlett-pulse
Create an iterator which generates a Bartlett pulse waveform.
@stdlib/stats-base-dists-hypergeometric-variance
Hypergeometric distribution variance.
@stdlib/math-base-special-modf
Decompose a double-precision floating-point number into integral and fractional parts.
@stdlib/ndarray-dispatch
Create an ndarray function interface which performs multiple dispatch.
@stdlib/stats-base-nanrange-by
Calculate the range of a strided array via a callback function, ignoring NaN values.
@stdlib/math-iter-special-atanh
Create an iterator which computes the hyperbolic arctangent of each iterated value.