{
  "name": "skaters",
  "version": "0.16.0",
  "description": "Fast univariate online distributional time-series forecasting: a zero-dependency JavaScript port of the Python skaters package, numerically identical to 1e-6.",
  "type": "module",
  "main": "./index.mjs",
  "module": "./index.mjs",
  "exports": {
    ".": "./index.mjs",
    "./package.json": "./package.json",
    "./*.mjs": "./*.mjs",
    "./*": "./*.mjs"
  },
  "files": [
    "*.mjs",
    "README.md",
    "CHANGELOG.md",
    "LICENSE"
  ],
  "sideEffects": false,
  "engines": {
    "node": ">=16"
  },
  "keywords": [
    "time-series",
    "forecasting",
    "online",
    "distributional",
    "probabilistic",
    "density",
    "quantile",
    "crps",
    "log-likelihood",
    "laplace",
    "garch",
    "zero-dependency",
    "browser",
    "microprediction",
    "anomaly-detection",
    "calibration",
    "pit"
  ],
  "homepage": "https://skaters.microprediction.org",
  "repository": {
    "type": "git",
    "url": "git+https://github.com/microprediction/skaters.git",
    "directory": "docs/js/skaters"
  },
  "bugs": {
    "url": "https://github.com/microprediction/skaters/issues"
  },
  "author": "Peter Cotton",
  "license": "MIT"
}