Survival analysis toolkit for MoonBit

survival

kaplan-meier

cox

statistics

moon add Lyl66655/moon-survival@0.2.3

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Author

Lyl66655

Version

0.2.3

License

Apache-2.0

Repository

github.com/Lyl66655/moon-survival

Last updated

6 hours ago

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README

#moon-survival

Survival analysis toolkit for MoonBit, with native support for right-censored data. It is designed for medical follow-up, reliability engineering, software failure analysis, and user churn studies.

#Project positioning

moon-survival provides reusable statistical building blocks for estimating time-to-event behavior across WebAssembly, Native, and JavaScript targets. The library is dependency-light and keeps data validation, estimators, model diagnostics, reporting, and reproducible simulation fixtures in one MoonBit module.

#Core capabilities

Right-censored and weighted survival observations with validation and summary statistics.
Kaplan-Meier with Greenwood standard errors, confidence intervals, quantiles, median survival, restricted mean survival time, and curve export.
Nelson-Aalen cumulative hazards with variance, confidence intervals, and survival transformations.
Cox proportional hazards with Newton fitting, ridge stabilization, Breslow baseline hazards, predictions, residuals, and proportional-hazards diagnostics.
Competing risks with Aalen-Johansen cumulative incidence, log-rank tests, pairwise comparisons, and RMST differences.
Reliability models, power planning, bootstrap/jackknife resampling, grouped analysis, model selection, and calibration metrics.
Parametric and AFT models, interval-censored Turnbull fitting, IPCW analysis, recurrent events, multi-state transitions, validation pipelines, and missing data workflows.
Risk stratification, calibration, feature engineering, decision analysis, clinical endpoints, audit trails, reproducible exports, and trial operations.
CSV ingestion/export, time-varying covariates, incremental accumulation, deterministic simulation, Markdown/CSV reports, ASCII visualization, and finite-state Markov cohort analysis.

#Quick start

moon add Lyl66655/moon-survival
moon run --target native cmd/example

The example executable demonstrates Kaplan-Meier, Nelson-Aalen, Cox, and competing-risk workflows. A package can import the library package as:

import {
  "Lyl66655/moon-survival/src",
}

#CLI and runnable commands

The repository provides two executable MoonBit entrypoints:

# Run the end-to-end example
moon run --target native cmd/example

# Run the deterministic performance fixture
moon run --target native --release cmd/benchmark

The benchmark command is the project CLI for repeatable local performance checks; the library itself is consumed through MoonBit package APIs.

#Architecture

moon.mod                         module metadata and package version
src/moon.pkg                     public survival-analysis package
src/*.mbt                        estimators, models, diagnostics, reports
src/pkg.generated.mbti           generated public API summary
cmd/example/                     runnable API example
cmd/benchmark/                   deterministic benchmark executable
.github/workflows/check.yml      cross-platform quality checks
LICENSE                           Apache-2.0 license text

The source package is organized by responsibility: data and numerical utilities are the foundation; non-parametric estimators, regression models, reliability and competing-risk models build on them; diagnostics, reporting, visualization, and command entrypoints consume those public APIs.

#Benchmark

The deterministic fixture contains 5,000 observations, 4,403 events, and 11.94% censoring. The following ranges were observed across three consecutive native release runs on 2026-08-20 with MoonBit 0.1.20260814 and moonc 0.10.8; timings vary by host:

Workload	Result
Kaplan-Meier, 5,000 observations	5,000 steps, 1–3 ms
Nelson-Aalen, 5,000 observations	5,000 steps, 0–1 ms
Cox, 500 rows and 3 covariates	4 iterations, converged, 54–58 ms
Exponential parametric fit, 5,000 observations	0–1 ms
IPCW weights and curve, 5,000 observations	5,000 steps, 28–32 ms
Two-group KM summary, 5,000 observations per group	2 curves, 2–6 ms

The fixture, event counts, censoring fraction, convergence status, effective sample size (4,951.7646), group survival at 30 (0.0034694), and RMST at 30 (7.4435516) are deterministic. Timings depend on the host machine.

#Tests

moon fmt --check
moon check --target all --deny-warn
moon test --target wasm-gc --deny-warn
moon test --target native --deny-warn
moon info

The regression suite contains 119 passing tests covering empty data, all-censored data, ties, invalid events, malformed matrices, singular systems, CSV quoting, numerical extremes, model edge cases, interval and right censoring, IPCW, recurrent and multi-state data, validation, export, feature engineering, and deterministic performance fixtures.

#CI

GitHub Actions runs on Ubuntu, macOS, and Windows. Each job installs the latest stable MoonBit toolchain from the official installer and runs formatting, all-target compilation checks, metadata generation, generated-source drift detection, WebAssembly GC tests, Native tests, JavaScript tests, and all-target builds.

#License

Apache-2.0. See LICENSE.

#Resources

GitHub repository
GitLink mirror
Mooncakes package: Lyl66655/moon-survival

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