vaccine
1.4.0Statistical Tools for Immune Correlates Analysis of Vaccine Clinical Trial Data
Overview
Various semiparametric and nonparametric statistical tools for immune correlates analysis of vaccine clinical trial data. This includes calculation of summary statistics and estimation of risk, vaccine efficacy, controlled effects (controlled risk and controlled vaccine efficacy), and mediation effects (natural direct effect, natural indirect effect, proportion mediated). See Gilbert P, Fong Y, Kenny A, and Carone, M (2022) doi:10.1093/biostatistics/kxac024 and Fay MP and Follmann DA (2023) doi:10.48550/arXiv.2208.06465.
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Health
- OK2026-08-0413 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 85%
- Documented parameters
- 92%
- Return-value docs
- 100%
- References docs
- 13%
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4 development-tooling and community-health practices detected across 3 families in the upstream repository
Checks run against github.com/avi-kenny/vaccine on 2026-08-02.
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8 releases. Pick two to compare their code metrics. R releases are shown for context.
Package metadata
- First published
- 2023-07-08
- Total releases
- 8 / 3 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 2.10
- Bundled data
- 21 KB / 1 file
- Download size
- 583 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet