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Package Usage: npm: @stdlib/blas-ext-base-dsumpw

Calculate the sum of double-precision floating-point strided array elements using pairwise summation.
12 versions
Latest release: 8 months ago
10 dependent packages
2,564 downloads last month

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Dependent Repos 10

stdlib-js/blas-ext-base

Standard library extended basic linear algebra subroutines (BLAS).

^0.0.x package.json

Size: 5.07 MB - Last synced: 5 days ago - Pushed: about 1 month ago

stdlib-js/stats-base-dvariancepn

Calculate the variance of a double-precision floating-point strided array using a two-pass algorithm.

^0.0.x package.json

Size: 943 KB - Last synced: 19 days ago - Pushed: about 2 months ago

stdlib-js/stats-base-dmeanpw

Calculate the arithmetic mean of a double-precision floating-point strided array using pairwise summation.

^0.0.x package.json

Size: 885 KB - Last synced: 19 days ago - Pushed: about 2 months ago

stdlib-js/stats-base

Standard library base statistical functions.

^0.0.x package.json

Size: 26.6 MB - Last synced: 18 days ago - Pushed: about 2 months ago

stdlib-js/stats-base-dmeanpn

Calculate the arithmetic mean of a double-precision floating-point strided array using a two-pass error correction algorithm.

^0.0.x package.json

Size: 946 KB - Last synced: 19 days ago - Pushed: about 2 months ago

stdlib-js/blas-ext

Standard library extended BLAS.

^0.0.x package.json

Size: 4.55 MB - Last synced: 19 days ago - Pushed: about 2 months ago

stdlib-js/stats-chi2gof

Perform a chi-square goodness-of-fit test.

^0.0.x package.json

Size: 4.61 MB - Last synced: 19 days ago - Pushed: about 2 months ago

stdlib-js/stats-base-dmeanvarpn

Calculate the mean and variance of a double-precision floating-point strided array using a two-pass algorithm.

^0.0.x package.json

Size: 965 KB - Last synced: 19 days ago - Pushed: about 2 months ago

ProfessorAmanda/econsimulations

This repository provides the code underlying simulations for teaching statistics and econometrics. The project site, which includes teaching materials as well as the link to the simulations, is located here: https://amandagreggeconomics.com/statistics-simulations-project/