| { |
| "name": "SwiftyStats", |
| "version": "1.0.4", |
| "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- noncentral 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\n- Rayleigh distribution\n- Extreme value distribution", |
| "homepage": "https://github.com/strike65/SwiftyStats.git", |
| "license": { |
| "type": "GPL 3", |
| "file": "LICENSE" |
| }, |
| "authors": { |
| "Volker Thieme": "vtping@me.com" |
| }, |
| "source": { |
| "git": "https://github.com/strike65/SwiftyStats.git", |
| "tag": "1.0.4" |
| }, |
| "swift_versions": "5", |
| "platforms": { |
| "ios": "10.0", |
| "osx": "10.12" |
| }, |
| "source_files": "SwiftyStats/CommonSource/**/*.swift", |
| "swift_version": "5" |
| } |
