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A shiny app for accurate estimation of vaccine induced immunogenicity with bivariate linear modeling. Method is detailed in: Lhomme, Hejblum, Lacabaratz, Wiedemann, Lelievre, Levy, Thiebaut & Richert (2020). Journal of Immunological Methods, 477:112711. <doi:10.1016/j.jim.2019.112711>.
Version: | 0.7.3 |
Imports: | cowplot, DT, ggplot2, grDevices, ggpubr, nlme, shiny, stats, tidyr, utils, numDeriv, stringr, RColorBrewer, scales, shinyWidgets |
Suggests: | testthat |
Published: | 2024-02-02 |
DOI: | 10.32614/CRAN.package.vici |
Author: | Boris Hejblum [cre, aut], Melanie Huchon [aut], Clement Nerestan [aut] |
Maintainer: | Boris Hejblum <boris.hejblum at u-bordeaux.fr> |
BugReports: | https://github.com/sistm/vici/issues |
License: | GPL-3 |
NeedsCompilation: | no |
Citation: | vici citation info |
Materials: | README NEWS |
CRAN checks: | vici results |
Reference manual: | vici.pdf |
Package source: | vici_0.7.3.tar.gz |
Windows binaries: | r-devel: vici_0.7.3.zip, r-release: vici_0.7.3.zip, r-oldrel: vici_0.7.3.zip |
macOS binaries: | r-release (arm64): vici_0.7.3.tgz, r-oldrel (arm64): vici_0.7.3.tgz, r-release (x86_64): vici_0.7.3.tgz, r-oldrel (x86_64): vici_0.7.3.tgz |
Old sources: | vici 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.