{
  "name": "SwiftyStats",
  "version": "0.8.10",
  "summary": "Descriptive Statistics, Probability Functions (PDF, CDF, iCDF), parametric and nonparametric tests",
  "description": "Includes (list is not exhaustive):\nDescriptive Statistics\n- sample size\n- length (= number of unique elements)\n- frequencies (absolute, relative, cumulative)\n- empirical cdf\n- means (arithmetic, geometric, harmonic, contraharmonic)\n- empirical dispersion measures (variance, semi variance, standard deviation, standard error)\n- empirical moments (central, about the origin, standardized)\n- entropy based measures\n- mode\n- maximum, minimum\n- quantiles\n- Box-and-Whisker statistics\n- outliers\n- ...\n\nHypothesis Testing\n- Kolmogorov Smirnov test (one/two sample))\n- Anderson Darling test\n- Bartlett test\n- Levene test (with variants)\n- Grubbs test\n- ESD test (Rosner test)\n- t test (matched, 2-sample)\n- Mann Whitney U-test\n- Wilcoxon matched pairs test\n- sign test\n- one factor ANOVA\n- Tukey-Kramer post hoc test\n- Scheffé test\n- Chi^2 test\n- F test\n- runs test\n- ...\n\nProbability functions\n- Normal Distribution\n- F-Ratio Distribution\n- Student's T Distribution\n- noncentral T Distribution\n- Chi^2 Distribution\n- Beta Distribution\n- Gamma Distribution\n- Log Normal Distribution\n- Cauchy Distribution\n- Laplace Distribution\n- Pareto Distribution\n- Wald Distribution\n- Exponential Distribution\n- Uniform Distribution\n- Triangular Distribution",
  "homepage": "https://gitlab.com/strike65/SwiftyStats.git",
  "license": {
    "type": "GPL 3",
    "file": "LICENSE"
  },
  "authors": {
    "Volker Thieme": "vtping@me.com"
  },
  "source": {
    "git": "https://gitlab.com/strike65/SwiftyStats.git",
    "tag": "0.8.10"
  },
  "swift_version": "4.1",
  "platforms": {
    "ios": "10.0",
    "osx": "10.12"
  },
  "source_files": "SwiftyStats/CommonSource/**/*.swift"
}