PopED (version 0.1.1)

plot_efficiency_of_windows: Plot the efficience of windows

Description

Function plots the efficiency of windows around the optimal design points.

Usage

plot_efficiency_of_windows(poped.db, xt_windows, iNumSimulations = 100, ...)

Arguments

poped.db

A poped database

iNumSimulations

The number of efficiency calculations to make.

...

Extra arguments passed to evaluate.fim

xt_windows

The distance on one direction from the optimal sample times. Can be a number or a matrix of the same size as the xt matrix found in poped.db$gxt.

Value

• A ggplot2 object.

See Also

Other Graphics: plot_model_prediction

Other Simulation: model_prediction; plot_model_prediction

Other evaluate_design: evaluate.fim; get_rse; model_prediction; plot_model_prediction

Examples

## 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. 

library(PopED)

## 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 initial design  and design space
poped.db <- create.poped.database(ff_file="ff.PK.1.comp.oral.sd.CL",
                                  fg_file="sfg",
                                  fError_file="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=0.01,
                                  groupsize=32,
                                  xt=c( 0.5,1,2,6,24,36,72,120),
                                  minxt=0,
                                  maxxt=120,
                                  a=70)

# Examine efficiency of sampling windows
plot_efficiency_of_windows(poped.db,xt_windows=0.5)
plot_efficiency_of_windows(poped.db,xt_windows=1)