| Title: | Simulation of Plasma Caffeine Concentrations by Using Population Pharmacokinetic Model |
| Version: | 0.2.2 |
| Date: | 2017-08-22 |
| Description: | Simulate plasma caffeine concentrations using population pharmacokinetic model described in Lee, Kim, Perera, McLachlan and Bae (2015) <doi:10.1007/s00431-015-2581-x>. |
| Depends: | R (≥ 3.3.2) |
| Encoding: | UTF-8 |
| License: | GPL-3 | file LICENSE |
| LazyData: | true |
| Copyright: | 2017, Sungpil Han |
| Imports: | mgcv, dplyr, tidyr, tibble, ggplot2, shiny, markdown |
| NeedsCompilation: | no |
| URL: | https://github.com/asancpt/caffsim |
| BugReports: | https://github.com/asancpt/caffsim/issues |
| RoxygenNote: | 6.0.1 |
| Maintainer: | Sungpil Han <shan@acp.kr> |
| Packaged: | 2017-08-28 00:09:32 UTC; Sungpil |
| Author: | Sungpil Han [aut, cre] |
| Repository: | CRAN |
| Date/Publication: | 2017-08-28 03:36:21 UTC |
Unit data of PK parameters
Description
A dataset containing information regarding unit data of pharmacokinetic parameters
Usage
UnitTable
Format
A data frame with 16 rows and 2 variables:
- Parameters
Abbreviated pharmacokinetic parameters
- Parameter
Pharmacokinetic parameters in full name
See Also
https://asancpt.github.io/caffsim
Create a dataset of the concentration-time curve of single oral administration of caffeine
Description
caffConcTime will create a dataset of the concentration-time curve
Usage
caffConcTime(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 concentration and time of simulated subjects
See Also
https://asancpt.github.io/caffsim
Examples
caffConcTime(Weight = 20, Dose = 200, N = 20)
caffConcTime(20, 200)
Create a dataset of the concentration-time curve of multiple dosing of caffeine
Description
caffConcTimeMulti will create a dataset of the concentration-time curve of multiple oral administrations of caffeine
Usage
caffConcTimeMulti(Weight, Dose, N = 20, Tau = 8, Repeat = 4)
Arguments
Weight |
Body weight (kg) |
Dose |
Dose of single caffeine (mg) |
N |
The number of simulated subjects |
Tau |
The interval of multiple dosing (hour) |
Repeat |
The number of dosing |
Value
The dataset of concentration and time of simulated subjects of multiple dosing
See Also
https://asancpt.github.io/caffsim
Examples
caffConcTimeMulti(Weight = 20, Dose = 200, N = 20, Tau = 8, Repeat = 4)
caffConcTimeMulti(20, 200)
Calculate descriptive statistics of simulated PK parameters
Description
caffDescstat will calculate descriptive statistics of simulated PK parameters
Usage
caffDescstat(caffPkparamData)
Arguments
caffPkparamData |
data frame generated by caffPkparam function |
Value
The descriptive statistics of pharmacokinetic parameters
See Also
https://asancpt.github.io/caffsim
Examples
caffDescstat(caffPkparam(20,500))
caffDescstat(caffPkparamMulti(20,500))
caffDescExample <- cbind(caffDescstat(caffPkparam(20,500)),
caffDescstat(caffPkparam(50,500))[,2])
colnames(caffDescExample)[2:3] <- c('20 kg', '50 kg')
caffDescExample
Calculate a duration of plasma caffeine concentration over specified toxic limits
Description
caffOverdose calculates a time duration of plasma caffeine concentration over specified toxic limits (40 mg/L or 80 mg/L)
Usage
caffOverdose(caffConcTimeData)
Arguments
caffConcTimeData |
data frame containing concentration-time data |
Value
descriptive statistics of duration of toxic concentrations
See Also
https://asan.shinyapps.io/caff/
Examples
caffOverdose(caffConcTime(Weight = 20, Dose = 200, N = 20))
caffOverdose(caffConcTimeMulti(Weight = 20, Dose = 200, N = 20, Tau = 8, Repeat = 4))
Create a dataset for simulation of single dose of caffeine
Description
caffPkparam will create a dataset for simulation of single dose of caffeine
Usage
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
https://asancpt.github.io/caffsim
Examples
caffPkparam(Weight = 20, Dose = 200, N = 20)
caffPkparam(20,500)
Create a dataset for simulation of multiple dose of caffeine
Description
caffPkparamMulti will create a dataset for simulation of multiple dose of caffeine
Usage
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)
caffPkparamMulti(20,500)
Create concentration-time curve after single dose of caffeine
Description
caffPlot will create concentration-time curve after single dose of caffeine
Usage
caffPlot(caffConcTimeData, log = FALSE)
Arguments
caffConcTimeData |
data frame of concentration-time dataset having column names Subject, Time, and Conc (case-sensitive) |
log |
y axis log |
Value
The concentration-time curve
See Also
https://asancpt.github.io/caffsim
Examples
caffPlot(caffConcTime(Weight = 20, Dose = 200, N = 20))
Create concentration-time curve after multiple doses of caffeine
Description
caffPlotMulti will create concentration-time curve after multiple doses of caffeine
Usage
caffPlotMulti(caffConcTimeMultiData, log = FALSE)
Arguments
caffConcTimeMultiData |
data frame of concentration-time dataset having column names Subject, Time, and Conc (case-sensitive) |
log |
y axis log |
Value
The concentration-time curve
See Also
https://asancpt.github.io/caffsim
Examples
caffPlotMulti(caffConcTimeMulti(Weight = 20, Dose = 200, N = 20, Tau = 8, Repeat = 4))
Run shiny app to interactively simulate plasma caffeine concentration.
Description
caffShiny runs an internal shiny app Caffeine Concentration Predictor in order to interactively simulate plasma caffeine concentration.
Usage
caffShiny()