stats-array-nanvariancepn
Calculate the variance of an array ignoring `NaN` values and using a two-pass algorithm.
stats-strided-dnanstdevyc
Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.
math-base-special-fibonacci-indexf
Compute the Fibonacci number index of a single-precision floating-point number.
stats-base-ztest-two-sample-results-float32
Create a two-sample Z-test single-precision floating-point results object.
stats-base-ndarray-scumax
Compute the cumulative maximum value of a one-dimensional single-precision floating-point ndarray.
https://github.com/arturbomtempo-learning/cotemig-framework-assignments
Projects created in the Framework subject of the technical course in web and mobile development.
stats-strided-dnanmeanwd
Calculate the arithmetic mean of a double-precision floating-point strided array, using Welford's algorithm and ignoring NaN values.
stats-array-nanmeanpn
Calculate the arithmetic mean of an array, ignoring NaN values and using a two-pass error correction algorithm.
https://github.com/anamarijapapic/erasmus-portal
Final project for university subject Agile Management. A platform where students and staff can apply for Erasmus+ programs, and institutions can manage these applications. 👥🌐
https://github.com/alexpreynolds/tabix-service
A nodejs-based service for requests for tabix-indexed genomic data
stats-strided-smskmin
Calculate the minimum value of a single-precision floating-point strided array according to a mask.
stats-strided-meanwd
Calculate the arithmetic mean of a strided array using Welford's algorithm.
blas-base-wasm-ccopy
Copy values from one complex single-precision floating-point vector to another complex single-precision floating-point vector.
ndarray-base-unary-reduce-subarray
Perform a reduction over a list of specified dimensions in an input ndarray and assign results to a provided output ndarray.
@stdlib/blas-base-scasum
Compute the sum of the absolute values of the real and imaginary components of a single-precision complex floating-point vector.
math-base-special-wrapf
The "math-base-special-wrapf" repository offers a collection of mathematical functions for precise floating-point operations. This library enhances numerical accuracy and performance in JavaScript applications. 🖥️📊
stats-strided-smskmax
Calculate the maximum value of a single-precision floating-point strided array according to a mask.
stats-base-dists-planck-skewness
Planck (discrete exponential) distribution skewness.
blas-base-wasm-zswap
Interchange two complex double-precision floating-point vectors.
complex-float64-base-scale
Scale a double-precision complex floating-point number by a real-valued double-precision floating-point scalar constant.
stats-strided-dsemtk
Calculate the standard error of the mean for a double-precision floating-point strided array using a one-pass textbook algorithm.
math-base-assert-is-probabilityf
Test if a single-precision floating-point number is a probability.
math-base-special-negafibonaccif
Compute the nth negaFibonacci number as a single-precision floating-point number.
deno-nodejs-transformer
A Deno module for transform Deno package to NodeJS package. This module is a modified edition of the JSR package `dnt`.
https://github.com/austinjhunt/personal-express-api
Lightweight Express JS API that uses google's GMail API with OAuth2 flow to send emails to me. Hosting this API myself to automate the sending of emails to be upon form submission on another site.
stats-strided-smin
Calculate the minimum value of a single-precision floating-point strided array.
@stdlib/random-array-uniform
Create an array containing pseudorandom numbers drawn from a continuous uniform distribution.
math-base-special-cinvf
The "math-base-special-cinvf" repository provides a precise implementation of the inverse cumulative distribution function for the normal distribution. This library aims to enhance numerical computation in JavaScript, making it easier for developers to integrate statistical functions into their applications. 🛠️📊
stats-strided-dvarm
Calculate the variance of a double-precision floating-point strided array provided a known mean.
ndarray-base-spread-dimensions
Expand the shape of an array to a specified dimensionality by spreading its dimensions to specified dimension indices and inserting dimensions of size one for the remaining dimensions.
@stdlib/blas-base-transpose-operation-str2enum
Return the enumeration constant associated with a BLAS transpose operation.
@stdlib/assert-is-same-complex128
Test if two arguments are both double-precision complex floating-point numbers and have the same value.
stats-strided-dmeanli
Calculate the arithmetic mean of a double-precision floating-point strided array using a one-pass trial mean algorithm.
@stdlib/constants-complex128-nan
Canonical double-precision complex floating-point NaN.
number-float64-base-add4
Compute the sum of four double-precision floating-point numbers.
@stdlib/math-base-special-acotf
Compute the inverse cotangent of a single-precision floating-point number.
stats-array-stdevch
Calculate the standard deviation of an array using a one-pass trial mean algorithm.
ndarray-base-ndarraylike2ndarray
Convert an ndarray-like object to an ndarray.
@stdlib/slice-base-length
Compute the number of elements in a normalized slice.
lapack-base-sge-trans
Convert a matrix from row-major layout to column-major layout or vice versa.
blas-ext-base-ndarray-scusum
Compute the cumulative sum of a one-dimensional single-precision floating-point ndarray.
@stdlib/lapack-base-dpttrf
Compute the `L * D * L^T` factorization of a real symmetric positive definite tridiagonal matrix `A`.
ndarray-iter-stacks
Create an iterator which iterates over each subarray in a stack of subarrays according to a list of specified stack dimensions.
@stdlib/random-array-logistic
Create an array containing pseudorandom numbers drawn from a logistic distribution.
array-base-unary4d-by
Apply a unary function to each element retrieved from a four-dimensional nested input array according to a callback function and assign results to elements in a four-dimensional nested output array.
blas-ext-base-ndarray-gsum
Compute the sum of all elements in a one-dimensional ndarray.
@stdlib/array-base-unarynd
Apply a unary callback to elements in an n-dimensional nested input array and assign results to elements in an n-dimensional nested output array.