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The goal of vaxpmx is to provide the functions for pharmacometric modeling in vaccines, specifically analyses related to correlates of protection (CoPs) and vaccine efficacy/effectiveness predictions using a CoP.
You can install the released version of vaxpmx from CRAN with:
install.packages("vaxpmx")This is a basic example which shows you how to solve a common problem:
library(vaxpmx)
library(survival)
# Load an example dataset
data(data_temp)
# Fit logistic model relating neutralizing titer to disease status
logisticFit <- glm(disease_any ~ nAb1, data = data_temp, family = binomial())
# Fit Cox proportional hazards model relating neutralizing titer to time to disease or end of follow-up
# coxFit <- coxph(Surv(time_event, disease_any) ~ nAb1, data = data_temp)
# Estimate vaccine efficacy and 95\% confidence interval based on the fitted models
ve(logisticFit, data_temp, nboot = 500)
ve(coxFit, data_temp, nboot = 500)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.
Health stats visible at Monitor.