Create a dataset of pharmacokinetic parameters of multiple oral dosing of caffeine

Source: R/caffPkparam.R

caffPkparamMulti will create a dataset for simulation of multiple dose of caffeine.

caffPkparamMulti(Weight, Dose, N = 20, Tau = 8)

Arguments

Weight

Body weight (kg)
Dose

Dose of multiple caffeine (mg)
N

The number of simulated subjects
Tau

The interval of multiple dosing (hour)

Value

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

See also

https://asancpt.github.io/caffsim

Examples

caffPkparamMulti(Weight = 20, Dose = 200, N = 20, Tau = 8)
#> # A tibble: 20 x 9
#>    subjid TmaxS CmaxS  AUCS    AI Aavss Cavss Cmaxss Cminss
#>     <int> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>  <dbl>  <dbl>
#>  1      1 0.454 15.4  167.   1.86  259. 20.8    29.9  13.8 
#>  2      2 0.281 13.3   90.2  1.41  162. 11.3    19.6   5.73
#>  3      3 0.664 12.2   88.5  1.42  163. 11.1    19.2   5.64
#>  4      4 0.530 14.8  104.   1.41  162. 13.0    22.6   6.60
#>  5      5 2.89   7.45  98.2  1.79  245. 12.3    17.9   7.95
#>  6      6 0.500 10.6   65.0  1.32  141.  8.13   15.2   3.68
#>  7      7 1.96  14.9  177.   1.78  242. 22.1    32.4  14.2 
#>  8      8 1.52   9.65 118.   1.89  264. 14.7    21.0   9.87
#>  9      9 1.81  11.6  120.   1.61  206. 15.0    23.4   8.89
#> 10     10 1.66  10.3   95.2  1.51  184. 11.9    19.5   6.59
#> 11     11 0.867 12.8  145.   1.87  261. 18.1    25.9  12.1 
#> 12     12 1.46   9.99  85.1  1.46  172. 10.6    18.0   5.63
#> 13     13 0.831 15.7  183.   1.91  269. 22.9    32.4  15.4 
#> 14     14 1.48   9.03  95.1  1.69  222. 11.9    18.0   7.34
#> 15     15 0.680 16.5  181.   1.84  255. 22.6    32.6  14.9 
#> 16     16 0.561 10.2   78.5  1.48  177.  9.81   16.4   5.30
#> 17     17 0.463 17.0  102.   1.30  137. 12.7    24.2   5.64
#> 18     18 1.75   8.86  81.8  1.50  181. 10.2    16.9   5.60
#> 19     19 0.829 11.9   71.9  1.27  129.  8.99   17.7   3.76
#> 20     20 0.732 12.0  123.   1.75  236. 15.4    22.8   9.79
caffPkparamMulti(20,500)
#> # A tibble: 20 x 9
#>    subjid TmaxS CmaxS  AUCS    AI Aavss Cavss Cmaxss Cminss
#>     <int> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>  <dbl>  <dbl>
#>  1      1 1.27   34.2 320.   1.58  500.  40.1   63.3  23.3 
#>  2      2 1.32   25.4 228.   1.53  470.  28.5   46.3  16.0 
#>  3      3 0.624  44.4 590.   2.13  789.  73.7   99.4  52.8 
#>  4      4 0.266  22.3 131.   1.31  349.  16.3   30.7   7.35
#>  5      5 0.505  21.9 158.   1.43  417.  19.7   33.8  10.2 
#>  6      6 0.558  21.3 106.   1.19  274.  13.3   28.8   4.67
#>  7      7 0.301  28.0 271.   1.74  583.  33.8   50.3  21.4 
#>  8      8 1.22   29.2 325.   1.80  613.  40.7   59.4  26.3 
#>  9      9 0.670  37.4 341.   1.63  525.  42.6   66.0  25.5 
#> 10     10 2.53   24.7 271.   1.58  497.  33.8   53.6  19.6 
#> 11     11 0.609  19.6 132.   1.37  381.  16.5   29.6   8.00
#> 12     12 1.57   23.3 189.   1.39  394.  23.6   41.6  11.7 
#> 13     13 3.15   31.4 440.   1.85  644.  55.0   79.1  36.4 
#> 14     14 1.51   14.1  98.6  1.28  328.  12.3   24.0   5.25
#> 15     15 0.282  39.3 258.   1.39  392.  32.3   57.1  16.0 
#> 16     16 1.15   22.3 167.   1.39  390.  20.9   37.1  10.3 
#> 17     17 3.90   21.0 308.   1.81  619.  38.5   56.1  25.1 
#> 18     18 0.433  35.0 191.   1.26  313.  23.9   47.9   9.73
#> 19     19 0.932  30.3 221.   1.39  392.  27.6   48.8  13.7 
#> 20     20 1.10   19.1 106.   1.18  268.  13.3   29.3   4.55