Package 'caffsim'

Create a concentration-time dataset of single oral dosing 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 concentration-time dataset of multiple oral dosing of caffeine

Description

caffConcTimeMulti will create a dataset of the concentration-time curve of multiple oral administration 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 pharmacokinetic 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 toxic concentration over specified levels (40 mg/L or 80 mg/L)

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 of pharmacokinetic parameters of single oral dosing 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 of pharmacokinetic parameters of multiple oral dosing 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)

---

Plot plasma concentration-time curves of single oral dosing 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))

---

Plot plasma concentration-time curves of multiple oral dosing 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 single and multiple dosing for plasma caffeine concentration

Description

caffShiny runs an internal shiny app Caffeine Concentration Predictor in order to interactively simulate plasma caffeine concentration.

Usage

caffShiny()

See Also

https://asan.shinyapps.io/caff/

---

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

---