Vaccine extension package for ADaM in R Asset Library {admiral}
To provide a complementary (to {admiral}
) toolbox that enables users
to develop vaccine specific domains.
The package is available from CRAN and can be installed by running
install.packages("admiralvaccine")
.
To install the latest development version of the package directly from GitHub use the following code:
if (!requireNamespace("remotes", quietly = TRUE)) {
install.packages("remotes")
}
remotes::install_github("pharmaverse/admiraldev", ref = "devel") # This is a required dependency of {admiralvaccine}
remotes::install_github("pharmaverse/admiral", ref = "devel") # This is a required dependency of {admiralvaccine}
remotes::install_github("pharmaverse/admiralvaccine", ref = "devel")
The latest version of the package works with the latest versions of the
packages stated in DESCRIPTION
.
If a previous version of the package should be used, it is recommended to use latest version of the dependencies at the point of time when the previous version of {admiralvaccine} was released.
{admiralvaccine}
is expected to complement {admiral}
and provide
functions to help with the creation of the efficacy endpoints required
for vaccine ADaMs.
Here’s a summary of our strategy for this package related to R versions:
{admiral}
core package.devel
branch of {admiral}
core is used as a
dependency. For releasing a new {admiralvaccine}
version it must
run using the latest released {admiral}
core version, i.e., main
branch of {admiral}
core.We use the following for support and communications between user and developer community:
Project Lead & Contributor: Neetu Sangari
Maintainer: Sukalpo Saha
Developers: Vikram S, Arjun Rubalingam, Dhivya Kanagaraj, Federico Baratin, Yamini Purna Bollu, Ilse Augustyns, Kalyani Bodicherla
Support lead & Reviewer: Ben Straub
Other Reviewers: Stefan Bundfuss, Edoardo Mancini
Other Contributors: Ross Farrugia, Abdul Khayat, Jayashree V, Jagadish Katam, Ankur Jindal, Andrea Pammolli, Daniele Bottigliengo, Ranya Ben Hsain, Lee Armishaw, Hilde Delanghe, Marleen Nijs, Mandy Peng, Tina Zhai
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