ff.PK.1.comp.oral.sd.CL {PopED} | R Documentation |
Structural model: one-compartment, oral absorption, single bolus dose, parameterized using CL.
Description
This is a structural model function that encodes a model that is
one-compartment, oral absorption, single bolus dose, parameterized using CL.
The function is suitable for input to the create.poped.database
function using the
ff_file
argument.
Usage
ff.PK.1.comp.oral.sd.CL(model_switch, xt, parameters, poped.db)
Arguments
model_switch |
a vector of values, the same size as |
xt |
a vector of independent variable values (often time). |
parameters |
A named list of parameter values. |
poped.db |
a poped database. This can be used to extract information that may be needed in the model file. |
Value
A list consisting of:
y the values of the model at the specified points.
poped.db A (potentially modified) poped database.
See Also
Other models:
feps.add.prop()
,
feps.add()
,
feps.prop()
,
ff.PK.1.comp.oral.md.CL()
,
ff.PK.1.comp.oral.md.KE()
,
ff.PK.1.comp.oral.sd.KE()
,
ff.PKPD.1.comp.oral.md.CL.imax()
,
ff.PKPD.1.comp.sd.CL.emax()
Other structural_models:
ff.PK.1.comp.oral.md.CL()
,
ff.PK.1.comp.oral.md.KE()
,
ff.PK.1.comp.oral.sd.KE()
,
ff.PKPD.1.comp.oral.md.CL.imax()
,
ff.PKPD.1.comp.sd.CL.emax()
Examples
library(PopED)
############# START #################
## Create PopED database
## (warfarin example)
#####################################
## Warfarin example from software comparison in:
## Nyberg et al., "Methods and software tools for design evaluation
## for population pharmacokinetics-pharmacodynamics studies",
## Br. J. Clin. Pharm., 2014.
## find the parameters that are needed to define from the structural model
ff.PK.1.comp.oral.sd.CL
## -- parameter definition function
## -- names match parameters in function ff
sfg <- function(x,a,bpop,b,bocc){
parameters=c(CL=bpop[1]*exp(b[1]),
V=bpop[2]*exp(b[2]),
KA=bpop[3]*exp(b[3]),
Favail=bpop[4],
DOSE=a[1])
return(parameters)
}
## -- Define model, parameters, initial design
poped.db <- create.poped.database(ff_fun=ff.PK.1.comp.oral.sd.CL,
fg_fun=sfg,
fError_fun=feps.prop,
bpop=c(CL=0.15, V=8, KA=1.0, Favail=1),
notfixed_bpop=c(1,1,1,0),
d=c(CL=0.07, V=0.02, KA=0.6),
sigma=c(prop=0.01),
groupsize=32,
xt=c( 0.5,1,2,6,24,36,72,120),
a=c(DOSE=70))
############# END ###################
## Create PopED database
## (warfarin example)
#####################################
## create plot of model without variability
plot_model_prediction(poped.db)
## evaluate initial design
FIM <- evaluate.fim(poped.db)
FIM
det(FIM)
get_rse(FIM,poped.db)