Package: vici 0.7.3

Boris Hejblum

vici: Vaccine Induced Cellular Immunogenicity with Bivariate Modeling

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>.

Authors:Boris Hejblum [cre, aut], Melanie Huchon [aut], Clement Nerestan [aut], Jad El Karchi [ctb]

vici_0.7.3.tar.gz
vici_0.7.3.zip(r-4.7-any)vici_0.7.3.zip(r-4.6-any)vici_0.7.3.zip(r-4.5-any)
vici_0.7.3.tgz(r-4.6-any)vici_0.7.3.tgz(r-4.5-any)
vici_0.7.3.tar.gz(r-4.7-any)vici_0.7.3.tar.gz(r-4.6-any)
vici_0.7.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
vici/json (API)

# Install 'vici' in R:

install.packages('vici', repos = c('https://sistm.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/sistm/vici/issues

Datasets:

ICS_ex - Toy data to upload in the app.

On CRAN:

3.18 score 1 stars 2 scripts 242 downloads 5 exports 118 dependencies

Last updated from:0e003e7444. Checks:7 ERROR, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel	ERROR	140
source / vignettes	OK	232
linux-release	ERROR	145
macos-release	ERROR	88
macos-oldrel	ERROR	101
windows-devel	ERROR	83
windows-release	ERROR	67
windows-oldrel	ERROR	80
wasm-release	OK	150