SurvivalAnalysis.jl: A survival analysis interface for Julia

Status	Testing	Coverage	Docs	Codebase

About

Survival analysis interface in Julia, still very experimental. Tries to build on my R experience with mlr3proba and distr6.

Related Packages

• JuliaStats/Survival.jl implements right-censored time-to-event types, Cox PH, Kaplan-Meier and Nelson-Aalen estimators. Last commit 2022.
• Testispuncher/Survival.jl implements non-parametric estimators and some plots. Last commit 2017.
• kkholst/EventHistory.jl implements different censoring and truncation types and Cox PH. Last commit 2018.

Features

Current

• [x] Kaplan Meier estimator (+plotting)
• [x] Nelson Aalen estimator (+plotting)
• [x] Parametric PH models (Exponential and Weibull)
• [x] Parametric AFT models (Exponential and Weibull)
• [x] Discrete and continuous survival prediction objects, including distribution, linear predictor and general risk return types
• [x] Plotting for non parametric estimators
• [x] Surv object for unified censoring indicator (functionality for left, right, interval)
• [x] Extended formula interface for survival objects
• [x] Log-rank tests

Planned

• [ ] CoxPH
• [ ] Residuals (Schoenfeld etc.)
• [ ] Predict type transformations
• [ ] Generic plotting functionality
• [ ] Proportional odds functionality
• [ ] More parametric AFTS
• [ ] Analytical optimisation
• [ ] Discrimination measures
• [ ] Scoring rules
• [ ] Calibration measures
• [ ] Bayesian interface
• [ ] mlr3proba integration
• [ ] MLJ integration
• [ ] Documentation

Contributors

Raphael Sonabend 🐛 💻 🖋 📖 🎨 💡 🤔 🚧 📆 💬 🔬 👀 ⚠️ ✅

Kerby Shedden 📖 💻

Moritz Schauer 👀