<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Vaccine Induced Cellular Immunogenicity with Bivariate Modeling</dc:title>
  <dc:title>R package vici version 0.7.3</dc:title>
  <dc:description>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 &amp; Richert (2020). Journal of Immunological Methods, 
    477:112711. &lt;doi:10.1016/j.jim.2019.112711&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: cowplot, DT, ggplot2, grDevices, ggpubr, nlme, shiny, stats,
tidyr, utils, numDeriv, stringr, RColorBrewer, scales,
shinyWidgets</dc:relation>
  <dc:relation>Suggests: testthat</dc:relation>
  <dc:creator>Boris Hejblum &lt;boris.hejblum@u-bordeaux.fr&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Boris Hejblum [cre, aut],
  Melanie Huchon [aut],
  Clement Nerestan [aut]</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2024-02-02</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=vici</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.vici</dc:identifier>
</oai_dc:dc>
