Statistical Tools for Immune Correlates Analysis of Vaccine Clinical Trial Data

Various semiparametric and nonparametric statistical tools for immune correlates analysis of vaccine clinical trial data. This includes calculation of summary statistics and estimation of risk, vaccine efficacy, controlled effects (controlled risk and controlled vaccine efficacy), and mediation effects (natural direct effect, natural indirect effect, proportion mediated). See Gilbert P, Fong Y, Kenny A, and Carone, M (2022) and Fay MP and Follmann DA (2023) .


GitHub R package version CRAN status GitHub R-CMD-check Codecov test coverage

vaccine

Statistical tools for immune correlates analysis of vaccine clinical trial data

Overview

vaccine is an open-source R package containing various semiparametric and nonparametric statistical tools for immune correlates analysis of vaccine clinical trial data. This includes calculation of summary statistics and estimation of risk, vaccine efficacy, controlled risk, and controlled vaccine efficacy.

Installation

The latest stable version of vaccine can be installed from CRAN using install.packages():

install.packages("vaccine")

The current development version can be installed using devtools::install_github():

devtools::install_github(repo="Avi-Kenny/vaccine")

Documentation

The full package documentation can be found at https://avi-kenny.github.io/vaccine/.

Bugs reports and feature requests

To submit a bug report or request a new feature, please submit a new GitHub Issue.

Reference manual

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install.packages("vaccine")

1.4.0 by Avi Kenny, 4 months ago


https://avi-kenny.github.io/vaccine/


Report a bug at https://github.com/Avi-Kenny/vaccine/issues


Browse source code at https://github.com/cran/vaccine


Authors: Avi Kenny [aut, cre]


Documentation:   PDF Manual  


GPL-3 license


Imports dplyr, fdrtool, ggplot2, ggpubr, methods, rlang, Rsolnp, splines, stats, SuperLearner, survival, survML, truncnorm, e1071, gam, ranger, utils, MASS

Suggests knitr, rmarkdown, testthat


See at CRAN