Simulate PK data from a 1-compartment iv model
pk_iv_1cmt(
t,
t_inf = 1,
tau = 24,
dose = 120,
CL = 0.345,
Vc = 1.75,
ruv = NULL
)
Arguments
- t
Time after dose
- t_inf
Infusion length
- tau
Dosing interval
- dose
Dose
- CL
Clearance
- Vc
Volume of distribution
- ruv
Residual variability
Value
A vector of predicted values, with or without added residual variability
Examples
dat1 <- vpc:::pk_iv_1cmt(t = c(0:72), tau = 24, dose = 120,
CL = 5, Vc = 50)
dat2 <- vpc:::pk_iv_1cmt(t = c(0:72), tau = 24, dose = 120,
CL = 5, Vc = 50,
ruv = list(proportional = 0.1, additive = 0.1))