@stdlib/random-base-mt19937
A 32-bit Mersenne Twister pseudorandom number generator.
@stdlib/stats-incr-kurtosis
Compute a corrected sample excess kurtosis incrementally.
@stdlib/stats-incr-maape
Compute the mean arctangent absolute percentage error (MAAPE) incrementally.
@stdlib/stats-incr-mmaape
Compute a moving arctangent mean absolute percentage error (MAAPE) incrementally.
@stdlib/random-iter-mt19937
Create an iterator for a 32-bit Mersenne Twister pseudorandom number generator.
org.webjars.npm:nearley
📜🔜🌲 Simple, fast, powerful parser toolkit for JavaScript.
@stdlib/blas-ext-base-gcusumkbn2
Calculate the cumulative sum of strided array elements using a second-order iterative Kahan–Babuška algorithm.
@stdlib/random-base-minstd
A linear congruential pseudorandom number generator (LCG) based on Park and Miller.
@stdlib/blas-ext-base-gsumpw
Calculate the sum of strided array elements using pairwise summation.
@stdlib/random-base-improved-ziggurat
Normally distributed pseudorandom numbers using the improved Ziggurat method.
random-streams-mt19937
Create a readable stream for a 32-bit Mersenne Twister pseudorandom number generator.
@stdlib/random-base-box-muller
Normally distributed pseudorandom numbers using the Box-Muller transform.
@stdlib/random-base-hypergeometric
Hypergeometric distributed pseudorandom numbers.
@stdlib/random-base-minstd-shuffle
A linear congruential pseudorandom number generator (LCG) whose output is shuffled.
@stdlib/stats-base-variancepn
Calculate the variance of a strided array using a two-pass algorithm.
@stdlib/blas-ext-base-gapxsumpw
Adds a constant to each strided array element and computes the sum using pairwise summation.
@stdlib/stats-base-meanpn
Calculate the arithmetic mean of a strided array using a two-pass error correction algorithm.
@stdlib/stats-base-stdevpn
Calculate the standard deviation of a strided array using a two-pass algorithm.
@stdlib/blas-ext-base-dsumpw
Calculate the sum of double-precision floating-point strided array elements using pairwise summation.
@stdlib/stats-lowess
Locally-weighted polynomial regression via the LOWESS algorithm.
@stdlib/utils-native-class
Determine the specification defined classification of an object.
@stdlib/math-base-napi-unary
C APIs for registering an N-API module exporting an interface for invoking a unary numerical function.
@stdlib/regexp-regexp
Return a regular expression to parse a regular expression string.
@stdlib/regexp-eol
Return a regular expression to match a newline character sequence.
@stdlib/regexp-function-name
Return a regular expression to capture a function name.
@stdlib/constants-float64-ninf
Double-precision floating-point negative infinity.
@stdlib/constants-array-max-typed-array-length
Maximum length for a typed array.