package.json

{
  "name": "normalize-samples",
  "version": "0.1.0",
  "description": "Normalize a sample drawn from different populations and convert into a Z-score",
  "main": "index.js",
  "repository": {
    "type": "git",
    "url": "https://github.com/snlamm/normalize-samples"
  },
  "author": "Shmuel Lamm (@snlamm)",
  "license": "MIT",
  "engines": {
    "node": ">=4.8.6"
  },
  "keywords": [
		"normalize",
		"normalize samples",
		"statistics",
		"sample",
		"standard deviation",
		"standard error",
		"confidence intervals",
		"z-score",
		"z score",
		"zscore"
	],
  "scripts": {
    "lint": "eslint index.js test/*",
    "test": "ava --verbose",
    "test-nyc": "nyc ava --verbose",
    "coverage": "nyc report --reporter=text-lcov | coveralls"
  },
  "private": false,
  "devDependencies": {
    "ava": "^0.23.0",
    "coveralls": "^3.0.0",
    "eslint": "^4.10.0",
    "nyc": "^11.3.0"
  },
  "dependencies": {
    "ztable": "^1.0.7"
  }
}