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vaxpmx: Vaccines Pharmacometrics

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

Documentation:

Reference manual: vaxpmx.pdf

Downloads:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=vaxpmx to link to this page.

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.