Concentration predictions for 2-compartmental PK model with infusion dosing at steady state
Source:R/pk_1cmt_inf_ss.R
pk_1cmt_inf_ss.Rd
Concentration predictions for 2-compartmental PK model with infusion dosing at steady state
Usage
pk_1cmt_inf_ss(
t = c(0:24),
dose = 100,
t_inf = 1,
tau = 12,
CL = 3,
V = 30,
ruv = NULL
)
Examples
pk_1cmt_inf_ss(dose = 500, tau = 12, t_inf = 2, CL = 5, V = 50)
#> t dv
#> 1 0 4.771371
#> 2 1 9.075444
#> 3 2 12.969930
#> 4 3 11.735678
#> 5 4 10.618881
#> 6 5 9.608361
#> 7 6 8.694004
#> 8 7 7.866660
#> 9 8 7.118049
#> 10 9 6.440677
#> 11 10 5.827765
#> 12 11 5.273180
#> 13 12 4.771371
#> 14 13 9.075444
#> 15 14 12.969930
#> 16 15 11.735678
#> 17 16 10.618881
#> 18 17 9.608361
#> 19 18 8.694004
#> 20 19 7.866660
#> 21 20 7.118049
#> 22 21 6.440677
#> 23 22 5.827765
#> 24 23 5.273180
#> 25 24 4.771371
pk_1cmt_inf_ss(
dose = 500, tau = 12, t_inf = 2, CL = 5, V = 50,
ruv = list(prop = 0.1, add = 0.1))
#> t dv
#> 1 0 5.079726
#> 2 1 9.138869
#> 3 2 11.366403
#> 4 3 11.050248
#> 5 4 11.957736
#> 6 5 10.155337
#> 7 6 8.612823
#> 8 7 7.418775
#> 9 8 7.827875
#> 10 9 7.014191
#> 11 10 4.919766
#> 12 11 5.751224
#> 13 12 4.880352
#> 14 13 9.420388
#> 15 14 10.761815
#> 16 15 10.922987
#> 17 16 9.376038
#> 18 17 9.875445
#> 19 18 8.387565
#> 20 19 8.450272
#> 21 20 7.058097
#> 22 21 5.850960
#> 23 22 6.682154
#> 24 23 5.903988
#> 25 24 5.199365