The most comprehensive Python package for evaluating survival analysis models.
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Dec 18, 2025 - Python
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survival-curves
Here are 8 public repositories matching this topic...
An R-Package to estimate and plot confounder-adjusted survival curves (single event survival data) and confounder-adjusted cumulative incidence functions (data with competing risks) using various methods.
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Aug 26, 2025 - R
A small tidyverse-based framework for importing and plotting UCITS ETF tracking differences, liquidity measures, as well as survival curves and other plots related to financial planning.
personal-finance finance ggplot2 r tidyverse data-visualization investing r-package liquidity etfs financial-planning xetra survival-curves xlm index-funds ucits diy-investing tracking-differences
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Jan 9, 2026 - R
survival curves in ggplot2
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Mar 27, 2021 - R
Simple library to help calculate and graph survival curves.
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Mar 12, 2018 - Ruby
A comprehensive Python survival analysis workflow using statsmodels. Covers Kaplan-Meier estimation, log-rank tests, Cox proportional hazards regression, and alternative approaches like Nelson-Aalen and Accelerated Failure Time models with practical code examples.
survival-analysis kaplan-meier regression-models statsmodels time-to-event survival-curves log-rank-test accelerated-failure-time cox-proportional-hazards hazard-ratio nelson-aalen cumulative-hazard proportional-hazards-assumption nonparametric-estimation
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Dec 17, 2025 - Jupyter Notebook
Final Project for PHST 683 for M.S. Biostatistics at University of Louisville (Survival Analysis)
r survival-analysis r-language cox-regression anova r-programming survival-curves shapiro-wilk wilcoxon-rank-sum time-dependent-covariates
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Aug 23, 2023 - R
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