[LONGITUDINAL]
input = {l0,l1,w0,kpot,tau}

PK:
compartment(amount=Ac)
oral(ka=20)

EQUATION:
V  = 2.8
ke = 2.4
t0 = 0
Ac_0 = 0
p_0    = w0
d_0    = 0

Cc = Ac/V
ddt_Ac = -ke*Ac
ddt_p  = (2*l0*l1*p^2)/((l1+2*l0*p)*(p+d)) - kpot*Cc*p
ddt_d  = kpot*Cc*p - kpot*delay(Ac,tau)/V*delay(p,tau)
w  =  p+d

shinyUI(fluidPage(
  tabsetPanel(
    tabPanel("Plot",
        fluidRow(
          column(4,
            tabsetPanel(
               tabPanel("Treatment",
                        br(),
                        sliderInput("tfd", "time of first dose:", value=12, min=0, max = 24, step=2),
                        sliderInput("nd", "number of doses:", value=4, min=0, max = 20, step=1),
                        sliderInput("ii", "interdose interval:", value = 1, min = 0.25, max = 5, step=0.25),
                        sliderInput("amt", "amount:", value = 100, min = 20, max = 300, step=20),
                        br()
               ),
               tabPanel("Parameters",
                        sliderInput("l0", "l0:", value=0.3, min=0.05, max=0.5, step=0.05),
                        sliderInput("l1", "l1:", value=0.3, min=0.05, max=0.5, step=0.05),
                        sliderInput("w0", "w0:", value=0.02, min=0.002, max=0.04, step=0.002),
                        sliderInput("kpot", "kpot:", value=0.01, min=0.001, max=0.02, step=0.001),
                        sliderInput("tau", "tau:", value=1, min=0.5, max=10, step=0.5),
                        br()
               )
                )),
       column(8,
          plotOutput("plot",  height="450px"))
       )),
    tabPanel("Mlxtran", pre(includeText("simeoni_dde.txt"))),
    tabPanel("ui.R", pre(includeText("ui.R"))),
    tabPanel("server.R", pre(includeText("server.R")))
  )
))

#source("../../initMlxR.R")
library(mlxR)

shinyServer(function(input, output) {
  
  r <- reactive({  

    t.value=seq(0,25,by=0.25)
    t1=input$tfd
    t2=input$ii*(input$nd-1)+t1
    if (t2>=t1){
      t.dose=seq(t1,t2,by=input$ii)
      adm <- list(time=t.dose, amount=input$amt)
    }else{
      adm <- list(time=t1, amount=0)
    }
    
    f  <- list(name=c('w'),time=t.value)
    param.value <- c(input$l0,input$l1,input$w0,input$kpot,input$tau)
    p   <- list(name=c('l0','l1','w0','kpot','tau'), value=param.value)
    
    res <- simulx( model     = 'simeoni_dde.txt',
                   treatment = adm, 
                   parameter = p,
                   output    = f)
    return(res)
  })
  
  output$plot <- renderPlot({
    withProgress(message = 'Creating plot', detail='Wait...', value = 0.1, expr={
      r=r()
    pl=ggplotmlx(data=r$w, aes(x=time, y=w)) + geom_line(size=0.75)
    print(pl)
    })
  })
  
})