tests/testthat/examples_fcn_doc/examples_ff.PK.1.comp.oral.md.KE.R

In PopED: Population (and Individual) Optimal Experimental Design

library(PopED)

## find the parameters that are needed to define in the structural model
ff.PK.1.comp.oral.md.KE

## -- parameter definition function 
## -- names match parameters in function ff
sfg <- function(x,a,bpop,b,bocc){
  ## -- parameter definition function 
  parameters=c( V=bpop[1]*exp(b[1]),
                KA=bpop[2]*exp(b[2]), 
                KE=bpop[3]*exp(b[3]),
                Favail=bpop[4],
                DOSE=a[1],
                TAU=a[2])
  return( parameters ) 
}

## -- Define design and design space
poped.db <- create.poped.database(ff_fun=ff.PK.1.comp.oral.md.KE,
                                  fg_fun=sfg,
                                  fError_fun=feps.add.prop,
                                  groupsize=20,
                                  m=2,
                                  sigma=c(0.04,5e-6),
                                  bpop=c(V=72.8,KA=0.25,KE=3.75/72.8,Favail=0.9), 
                                  d=c(V=0.09,KA=0.09,KE=0.25^2), 
                                  notfixed_bpop=c(1,1,1,0),
                                  notfixed_sigma=c(0,0),
                                  xt=c( 1,2,8,240,245),
                                  minxt=c(0,0,0,240,240),
                                  maxxt=c(10,10,10,248,248),
                                  a=cbind(c(20,40),c(24,24)),
                                  bUseGrouped_xt=1,
                                  maxa=c(200,40),
                                  mina=c(0,2))

##  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)