als-statistics
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A powerful and lightweight JavaScript library for descriptive statistics, regression, clustering, outlier detection, and noise analysis using a flexible table/column architecture.
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{
"name": "als-statistics",
"version": "1.5.0",
"main": "index.js",
"exports": {
"require": "./index.js",
"import": "./index.mjs"
},
"directories": {
"lib": "lib"
},
"scripts": {
"test": "node --test --experimental-test-coverage ./tests/**.test.js ./tests/**/**.test.js ./tests/**/**/**.test.js",
"report": "node --experimental-test-coverage --test-reporter=lcov --test-reporter-destination=lcov.info ./tests/index.test.js",
"build":"node ./scripts/build.js",
"build-docs":"node ./scripts/build-docs.js"
},
"keywords": [
"statistics",
"linear-regression",
"descriptive-statistics",
"data-analysis",
"outlier-detection",
"moving-average",
"dbscan",
"cronbach-alpha",
"pearson-correlation",
"table-data",
"column-data",
"filtering",
"javascript",
"node.js",
"esm"
],
"author": "Alex Sorkin",
"license": "MIT",
"description": "A powerful and lightweight JavaScript library for descriptive statistics, regression, clustering, outlier detection, and noise analysis using a flexible table/column architecture.",
"devDependencies": {
"als-require": "^3.2.2"
}
}