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Estimate vaccine efficacy (VE) using immunogenicity data. The inclusion of immunogenicity data in regression models can increase precision in VE. The methods are described in the publications "Elucidating vaccine efficacy using a correlate of protection, demographics, and logistic regression" and "Improving precision of vaccine efficacy evaluation using immune correlate data in time-to-event models" by Julie Dudasova, Zdenek Valenta, and Jeffrey R. Sachs (2024).
Version: | 0.0.6 |
Depends: | R (≥ 4.0) |
Imports: | methods (≥ 3.5.2), stats, MASS (≥ 7.3-51.6), dplyr (≥ 1.0.0), survival (≥ 3.2-11) |
Suggests: | knitr, rmarkdown, testthat |
Published: | 2024-11-20 |
DOI: | 10.32614/CRAN.package.vaxpmx |
Author: | Julie Dudasova (MSD) [aut, cre] |
Maintainer: | Julie Dudasova (MSD) <julie.dudasova at merck.com> |
License: | GPL-3 |
Copyright: | Copyright © 2024 Merck & Co., Inc., Rahway, NJ, USA and its affiliates. All rights reserved. |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | vaxpmx results |
Reference manual: | vaxpmx.pdf |
Package source: | vaxpmx_0.0.6.tar.gz |
Windows binaries: | r-devel: vaxpmx_0.0.6.zip, r-release: vaxpmx_0.0.6.zip, r-oldrel: vaxpmx_0.0.6.zip |
macOS binaries: | r-release (arm64): vaxpmx_0.0.6.tgz, r-oldrel (arm64): vaxpmx_0.0.6.tgz, r-release (x86_64): vaxpmx_0.0.6.tgz, r-oldrel (x86_64): vaxpmx_0.0.6.tgz |
Old sources: | vaxpmx archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.