@stdlib/assert-is-biguint64array
Test if a value is a BigUint64Array.
0.2.2 • Published 1 year ago
Typed Packages
@stdlib/assert-is-complex-typed-array
Test if a value is a complex typed array.
@stdlib/assert-is-complex-typed-array-like
Test if a value is complex-typed-array-like.
@stdlib/assert-is-complex128array
Test if a value is a Complex128Array.
@stylelint-types/stylelint-codeguide
TypeScript definitions for stylelint-define-config
@stylelint-types/stylelint-order
TypeScript definitions for stylelint-define-config
@stylelint-types/stylelint-scales
TypeScript definitions for stylelint-define-config
@stylelint-types/stylelint-scss
TypeScript definitions for stylelint-define-config
@stylelint-types/stylelint-stylistic
TypeScript definitions for stylelint-define-config
@stylelint-types/stylelint-stylus
TypeScript definitions for stylelint-define-config
@studimax/event
A fully typed Node Event
@stdlib/stats-base-dnanrange
Calculate the range of a double-precision floating-point strided array, ignoring NaN values.
@stdlib/stats-base-dnanstdev
Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values.
@stdlib/stats-base-dnanstdevch
Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using a one-pass trial mean algorithm.
@stdlib/stats-base-dnanstdevpn
Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using a two-pass algorithm.
@stdlib/stats-base-dnanstdevtk
Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using a one-pass textbook algorithm.
@stdlib/stats-base-dnanstdevwd
Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using Welford's algorithm.
@stdlib/stats-base-dnanmskmin
Calculate the minimum value of a double-precision floating-point strided array according to a mask, ignoring NaN values.
@stdlib/stats-base-dnanmskrange
Calculate the range of a double-precision floating-point strided array according to a mask, ignoring NaN values.
@stdlib/stats-base-dsemyc
Calculate the standard error of the mean for a double-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.