library(maemod)
##for plotting the output
RunOde <- function(parms){
parameters <- c(
mui=0,
muo=0,
R0= 0,
ps = 0.9,
pr = 0.1,
wait_treat = 5,
omega=1/2,
nuC=365/10,
nuA=365/60,
nuU=365/120,
t_treat = 2,
rho = 365/20,
nu1 = 365/1,
nu2 = 365/1,
nu3 = 365/1,
thetamax = 0.9,
q=1,
amp=1,
phi=0,
sensC=0.95,
sensA=0.50,
sensU=0.00,
f=1
,parms
)
init <- c(S = 0,T1 = 1, T2 = 0, T3 = 0, Tp = 0, Tr = 0,IC1 = 0, IA1 = 0, IU1 = 0, P = 0, R = 0)
outode <- maemod.ode(input.filename = "testmodel.mod", parms = parameters, init.state = init, times = seq(0, 42/365, by = (1/365)), method="vode")
return(outode)
}
shinyServer(
function(input, output, session) {
parms <- reactive(c(
c1max = input$c1max,
c2max = input$c2max,
c3max = input$c3max,
cpmax = input$cpmax,
prec = input$prec,
nuDmin= as.numeric(input$nuDmin)
)
)
outode <- reactive(RunOde(parms()))
#plotting function
plotX <- function(){
sc <- outode()
parameters <- maemod.parameters
# data set to compare
# for 'Early Treatment Failure'
x_e<- c(1:3,7)
y_e<-c(0.87,0.47,0.11,0)
yl_e<-c(0.78,0.39,0.07,0)
yu_e<-c(0.9,0.56,0.18,0.02)
days<-sc[,1]*365
fail<-sc[,"Fail"]
z<-parameters["sensC"]*sc[,"IC1"]+sc[,"T1"]+sc[,"T2"]+sc[,"T3"]+sc[,"Tp"]+
parameters["sensA"]*sc[,"IA1"]+ parameters["sensU"]*sc[,"IU1"]
plot(x_e, y_e,pch=19,xlim=c(0,7),ylim=c(0,1),main='Early Treatment Failure',
xlab='Days since treatment',ylab='Proportion')
arrows(x_e, yl_e, x_e, yu_e, length=0.05, angle=90, code=3)
lines(days,z)
}
output$graphs <- renderPlot({
suppressWarnings(plotX())
})
})
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