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 risk, and controlled vaccine efficacy. See Gilbert P, Fong Y, Kenny A, and Carone, M (2022) <doi:10.1093/biostatistics/kxac24>.

Version: 1.0.0
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), simest (≥ 0.4), 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), earth (≥ 5.3.1), glmnet (≥ 4.1.6)
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2023-10-20
Author: Avi Kenny [aut, cre, cph]
Maintainer: Avi Kenny <avi.kenny at gmail.com>
License: GPL (≥ 3)
NeedsCompilation: no
Materials: README NEWS
CRAN checks: vaccine results

Documentation:

Reference manual: vaccine.pdf
Vignettes: Basic package workflow

Downloads:

Package source: vaccine_1.0.0.tar.gz
Windows binaries: r-devel: vaccine_1.0.0.zip, r-release: vaccine_1.0.0.zip, r-oldrel: vaccine_1.0.0.zip
macOS binaries: r-release (arm64): vaccine_1.0.0.tgz, r-oldrel (arm64): vaccine_1.0.0.tgz, r-release (x86_64): vaccine_1.0.0.tgz, r-oldrel (x86_64): not available
Old sources: vaccine archive

Linking:

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