als-statistics
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Modular JS statistics toolkit for Node.js and the browser: descriptive stats, correlations (Pearson/Spearman/Kendall), t-tests & ANOVA (Student/Welch), reliability (Cronbach’s alpha), regression (linear/logistic), clustering (DBSCAN/HDBSCAN), and table/co
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Markdown
<title>EPS — Tolerance Table for Goldens</title>
<description>Numeric tolerances per function class used in golden tests.</description>
<keywords>EPS, tolerances, golden tests, precision</keywords>
# EPS (Golden Test Tolerances)
| Class | Key | Value | Notes |
|----------------|------------|---------|----------------------------------------|
| Descriptives | `stat` | 1e-6 | Means, medians, quantiles, variance |
| Z-scores | `z` | 1e-9 | Summary mean/std of z |
| Regression | `reg` | 1e-5 | Coefficients, metrics |
| CDF | `cdf` | 1e-9 | CDF/PPF checks |
| Correlations | `r` | 1e-7 | Pearson/Spearman/Kendall |
| Degrees of Fr. | `df` | 1e-6 | Welch df (float) |
| ANOVA F | `anovaF` | 1e-6 | |
| Flatness | `flatness` | 1e-12 | GM/AM stability |
| SPD Flatness | `spd` | 1e-12 | GM/AM on SPD |
| p-values | `p` | 1e-6 | |
Change these in `goldens/settings.js` if needed.