Add survival curves, distribution fitting, and layer opacity#34
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mortonanalytics merged 1 commit intodevelopfrom Mar 29, 2026
Merged
Add survival curves, distribution fitting, and layer opacity#34mortonanalytics merged 1 commit intodevelopfrom
mortonanalytics merged 1 commit intodevelopfrom
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… Session 1) Three new features completing the statistical visualization story: - Kaplan-Meier survival curves: transform_survfit computes KM estimator + Greenwood CI using base R only. composite_survfit expands to step-curve line + CI band + censored markers. Group stratification supported. - Distribution fitting: transform_fit_distribution fits normal/lognormal/ exponential via MLE. composite_histogram_fit overlays fitted density on histogram. - Layer opacity: setLayerOpacity(label, opacity) for per-layer transparency. Applied in Chart.js routeLayers(). Tests: 23 survfit + 7 histogram_fit + 6 opacity = 36 new R tests Total: 770 R tests, 194 JS tests, all passing. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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Summary
Phase 4 Session 1 — completing the statistical visualization story:
transform_survfitcomputes KM estimator + Greenwood CI using base R only.composite_survfitexpands to step-curve line + CI band + censored markers. Group stratification viagroupmappingtransform_fit_distributionfits normal/lognormal/exponential via MLE.composite_histogram_fitrenders histogram + fitted density curve + parameter annotationsetLayerOpacity(label, opacity)for per-layer transparency, applied renderer-agnostically inrouteLayers()Test plan
🤖 Generated with Claude Code