Concentration predictions for 2-compartmental PK model with infusion dosing at steady state

Usage

pk_2cmt_inf_ss(
  t = c(0:24),
  dose = 100,
  t_inf = 1,
  tau = 12,
  CL = 3,
  V = 30,
  Q = 2,
  V2 = 20,
  ruv = NULL
)

Arguments

t: vector of time
dose: dose
t_inf: infusion time
tau: dosing interval
CL: clearance
V: volume of distribution
Q: inter-compartimental clearance
V2: volume of peripheral compartment
ruv: residual variability, specified as list with optional arguments for proportional, additive, or exponential components, e.g. `list(prop=0.1, add=1, exp=0)`

Examples

pk_2cmt_inf_ss(
  dose = 1000, tau = 12, t_inf = 2,
  CL = 5, V = 50, Q = 20, V2 = 200)
#>     t       dv
#> 1   0 13.06368
#> 2   1 20.74923
#> 3   2 25.56261
#> 4   3 20.84315
#> 5   4 18.09645
#> 6   5 16.45306
#> 7   6 15.42753
#> 8   7 14.74879
#> 9   8 14.26547
#> 10  9 13.89304
#> 11 10 13.58425
#> 12 11 13.31272
#> 13 12 13.06368
#> 14 13 20.74923
#> 15 14 25.56261
#> 16 15 20.84315
#> 17 16 18.09645
#> 18 17 16.45306
#> 19 18 15.42753
#> 20 19 14.74879
#> 21 20 14.26547
#> 22 21 13.89304
#> 23 22 13.58425
#> 24 23 13.31272
#> 25 24 13.06368