Nothing
ode <- "
C2 = centr/V2;
C3 = peri/V3;
d/dt(depot) =-KA*depot;
d/dt(centr) = KA*depot - CL*C2 - Q*C2 + Q*C3;
d/dt(peri) = Q*C2 - Q*C3;
d/dt(eff) = Kin - Kout*(1-C2/(EC50+C2))*eff;
"
m1 <- RxODE(model = ode)
# create dosing and observation (sampling) events
# QD (once daily) dosing, 5 days
qd <- eventTable(amount.units = "ug", time.units = "hours")
qd$add.dosing(dose = 10000, nbr.doses = 5, dosing.interval = 24)
# hourly sampling during 1st day, every 4 hours afterwards
qd$add.sampling(0:24) # hourly
qd$add.sampling(seq(from = 28, to = 96, by = 4)) # every 4 hours
# BID dosing, 5 days
bid <- eventTable(amount.units = "ug", time.units = "days") # only dosing
bid$add.dosing(
dose = 10000,
nbr.doses = 2 * 5,
dosing.interval = 12
)
bid$add.sampling(0:24)
bid$add.sampling(96 + 0:24)
# init values
theta <-
c(
KA = 2.94E-01, CL = 1.86E+01, V2 = 4.02E+01, Q = 1.05E+01, V3 = 2.97E+02,
Kin = 1, Kout = 1, EC50 = 200
)
qd.cp <- m1$solve(theta, qd, inits = c(0, 0, 0, 1))
bid.cp <- m1$solve(theta, bid, inits = c(0, 0, 0, 1))
cp.plot <-
function(cp, xlab = "Time (days)", ...) {
xtime <- cp[, "time"]
matplot(xtime, cp[, c("depot", "centr", "peri")],
type = "l", ...,
xlab = xlab, ylab = "Drug amount (ug)"
)
legend("topright",
legend = c("Depot", "Central", "Peripheral"),
title = "Compartment",
col = 1:3, lty = 1:3, bty = "n"
)
plot(xtime, cp[, "eff"],
type = "l", ...,
xlab = xlab, ylab = "Effect compartment"
)
}
cp.plot(qd.cp, main = "QD dosing, 5 days")
cp.plot(bid.cp, main = "BID dosing, 5 days")
rxClean() # Remove dlls and extra files created by RxODE
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