savvyr
0.1.2Survival Analysis for AdVerse Events with VarYing Follow-Up Times
Overview
The SAVVY (Survival Analysis for AdVerse Events with VarYing Follow-Up Times) project is a consortium of academic and pharmaceutical industry partners that aims to improve the analyses of adverse event (AE) data in clinical trials through the use of survival techniques appropriately dealing with varying follow-up times and competing events, see Stegherr, Schmoor, Beyersmann, et al. (2021) doi:10.1186/s13063-021-05354-x. Although statistical methodologies have advanced, in AE analyses often the incidence proportion, the incidence density or a non-parametric Kaplan-Meier estimator are used, which either ignore censoring or competing events. This package contains functions to easily conduct the proposed improved AE analyses.
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- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-06-0812 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 50%
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6 development-tooling and community-health practices detected across 5 families in the upstream repository
Checks run against github.com/openpharma/savvyr on 2026-07-19.
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Code & Tests
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3 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 0.1.2Latest
- RR 4.5.0 released · 2025-04-11
- 0.1.12024-06-10 · diff ↗
- RR 4.4.0 released · 2024-04-24
- 0.1.02024-02-20
- RR 4.3.0 released · 2023-04-21
Package metadata
- First published
- 2024-02-20
- Total releases
- 3 / 2 yrs
- License
- Apache License 2.0 OSI
- Minimum R
- ≥ 4.0
- Download size
- 635 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet