caffPkparam will create a dataset for simulation of single dose of caffeine

caffPkparam(Weight, Dose, N = 20)

Arguments

Weight

Body weight (kg)

Dose

Dose of single caffeine (mg)

N

The number of simulated subjects

Value

The dataset of pharmacokinetic parameters of subjects after single caffeine dose following multivariate normal

See also

Examples

caffPkparam(Weight = 20, Dose = 200, N = 20)
#> # A tibble: 20 x 9 #> subjid Tmax Cmax AUC Half_life CL V Ka Ke #> <int> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> #> 1 1 0.682 10.6 78.2 4.61 2.56 17.0 5.41 0.150 #> 2 2 0.169 16.8 103. 4.12 1.95 11.6 30.9 0.168 #> 3 3 1.57 11.5 93.0 4.37 2.15 13.6 1.65 0.158 #> 4 4 0.681 21.9 160. 4.58 1.25 8.23 5.40 0.151 #> 5 5 2.44 12.9 139. 5.53 1.43 11.5 0.960 0.125 #> 6 6 0.810 10.9 61.5 3.30 3.25 15.5 3.78 0.210 #> 7 7 0.555 13.6 166. 8.08 1.20 14.0 8.32 0.0858 #> 8 8 2.22 7.84 76.2 4.93 2.62 18.7 1.04 0.140 #> 9 9 1.71 14.1 170. 7.05 1.18 12.0 1.80 0.0983 #> 10 10 0.469 12.1 115. 6.21 1.74 15.6 9.61 0.112 #> 11 11 0.982 16.9 160. 5.81 1.25 10.5 3.58 0.119 #> 12 12 0.606 12.7 70.7 3.40 2.83 13.9 5.70 0.204 #> 13 13 2.10 15.5 199. 7.29 1.00 10.6 1.37 0.0951 #> 14 14 0.412 11.6 69.3 3.86 2.89 16.1 9.91 0.180 #> 15 15 0.556 12.7 130. 6.67 1.54 14.8 7.89 0.104 #> 16 16 0.791 13.2 93.5 4.33 2.14 13.4 4.32 0.160 #> 17 17 1.92 11.1 98.1 4.58 2.04 13.5 1.25 0.151 #> 18 18 0.913 12.0 90.5 4.56 2.21 14.5 3.63 0.152 #> 19 19 0.719 12.0 76.4 3.89 2.62 14.7 4.74 0.178 #> 20 20 1.89 9.13 92.3 5.53 2.17 17.3 1.41 0.125
caffPkparam(20,500)
#> # A tibble: 20 x 9 #> subjid Tmax Cmax AUC Half_life CL V Ka Ke #> <int> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> #> 1 1 1.95 21.1 193. 4.78 2.59 17.8 1.25 0.145 #> 2 2 0.439 37.6 249. 4.28 2.01 12.4 9.42 0.162 #> 3 3 1.11 27.7 249. 5.41 2.01 15.7 2.96 0.128 #> 4 4 0.123 43.4 469. 7.40 1.07 11.4 51.3 0.0936 #> 5 5 1.14 34.0 340. 6.08 1.47 12.9 2.98 0.114 #> 6 6 0.652 29.8 314. 6.83 1.59 15.7 6.48 0.101 #> 7 7 1.04 50.1 494. 6.08 1.01 8.87 3.37 0.114 #> 8 8 3.83 28.0 417. 7.08 1.20 12.3 0.547 0.0979 #> 9 9 0.367 16.1 99.9 4.04 5.00 29.2 11.7 0.171 #> 10 10 1.71 30.8 276. 4.88 1.81 12.7 1.54 0.142 #> 11 11 1.63 30.1 365. 7.18 1.37 14.2 1.94 0.0965 #> 12 12 1.07 43.0 469. 6.78 1.07 10.4 3.39 0.102 #> 13 13 3.54 20.4 265. 5.98 1.88 16.3 0.562 0.116 #> 14 14 0.761 27.9 180. 3.90 2.78 15.6 4.39 0.178 #> 15 15 0.511 34.4 241. 4.49 2.07 13.4 7.83 0.154 #> 16 16 1.41 32.5 348. 6.36 1.44 13.2 2.25 0.109 #> 17 17 0.347 21.5 192. 5.92 2.61 22.3 13.9 0.117 #> 18 18 0.829 46.5 547. 7.57 0.913 9.97 4.89 0.0916 #> 19 19 0.955 29.6 165. 3.12 3.03 13.7 2.92 0.222 #> 20 20 0.953 42.0 265. 3.65 1.89 9.92 3.13 0.190