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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" } }