vaccine: Statistical Tools for Immune Correlates Analysis of Vaccine
Clinical Trial Data
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>.
Version: |
1.3.0 |
Depends: |
R (≥ 2.10) |
Imports: |
dplyr (≥ 1.0.10), fdrtool (≥ 1.2.17), ggplot2 (≥ 3.4.0), ggpubr (≥ 0.5.0), methods (≥ 4.2.2), rlang (≥ 1.0.6), Rsolnp (≥ 1.16), splines (≥ 4.2.2), stats (≥ 4.2.2), SuperLearner (≥ 2.0.28), survival (≥ 3.4.0), survML (≥ 0.0.0.9000), truncnorm (≥ 1.0.8), e1071 (≥ 1.7.12), gam (≥ 1.22.3), ranger (≥ 0.14.0), utils (≥ 4.3.2) |
Suggests: |
knitr, rmarkdown, testthat (≥ 3.0.0) |
Published: |
2025-01-07 |
DOI: |
10.32614/CRAN.package.vaccine |
Author: |
Avi Kenny [aut, cre] |
Maintainer: |
Avi Kenny <avi.kenny at gmail.com> |
BugReports: |
https://github.com/Avi-Kenny/vaccine/issues |
License: |
GPL-3 |
URL: |
https://avi-kenny.github.io/vaccine/ |
NeedsCompilation: |
no |
Materials: |
README NEWS |
CRAN checks: |
vaccine results |
Documentation:
Downloads:
Linking:
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