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)
Need a high-speed mirror for your open-source project?
Contact our mirror admin team at info@clientvps.com.
This archive is provided as a free public service to the community.
Proudly supported by infrastructure from VPSPulse , RxServers , BuyNumber , UnitVPS , OffshoreName and secure payment technology by ArionPay.