Concentration predictions for 1-compartmental PK model after single or multiple bolus doses
Source:R/pk_1cmt_inf.R
pk_1cmt_inf.Rd
Concentration predictions for 1-compartmental PK model after single or multiple bolus doses
Usage
pk_1cmt_inf(
t = c(0:24),
dose = 100,
tau = 12,
t_inf = 2,
CL = 3,
V = 30,
ruv = NULL
)
Examples
pk_1cmt_inf(dose = 500, tau = 12, t_inf = 2, CL = 5, V = 50)
#> t dv
#> 1 0 0.000000
#> 2 1 4.758129
#> 3 2 9.063462
#> 4 3 8.200960
#> 5 4 7.420535
#> 6 5 6.714378
#> 7 6 6.075420
#> 8 7 5.497268
#> 9 8 4.974134
#> 10 9 4.500782
#> 11 10 4.072476
#> 12 11 3.684929
#> 13 12 3.334261
#> 14 13 7.775094
#> 15 14 11.793325
#> 16 15 10.671042
#> 17 16 9.655558
#> 18 17 8.736710
#> 19 18 7.905302
#> 20 19 7.153013
#> 21 20 6.472314
#> 22 21 5.856392
#> 23 22 5.299082
#> 24 23 4.794808
#> 25 24 4.338522
pk_1cmt_inf(
dose = 500, tau = 12, t_inf = 2, CL = 5, V = 50,
ruv = list(prop = 0.1, add = 0.1))
#> t dv
#> 1 0 0.002229473
#> 2 1 4.444771202
#> 3 2 8.079427808
#> 4 3 7.495713126
#> 5 4 6.136499904
#> 6 5 6.136104832
#> 7 6 5.820701216
#> 8 7 5.210421557
#> 9 8 4.956597968
#> 10 9 4.846672246
#> 11 10 4.032843345
#> 12 11 3.083735761
#> 13 12 3.391775033
#> 14 13 7.521086583
#> 15 14 12.470623470
#> 16 15 12.924344832
#> 17 16 9.983051150
#> 18 17 7.452852509
#> 19 18 8.179105647
#> 20 19 8.018411307
#> 21 20 7.924435739
#> 22 21 6.007638408
#> 23 22 6.088076103
#> 24 23 4.848428515
#> 25 24 4.538471413