nm.modeltrail.graph: Graphical Bayesian model trail

In qPharmetra/qpToolkit: qPharmetra R Tools

Graphical Bayesian model trail

Description

Create graphical presentation of Bayesian model building trail. The function reads the iterations from the run.ext file and displays them as densities in a lattice graph

Usage

nm.modeltrail.graph(
  runs,
  path = getOption("nmDir"),
  file.ext = ".ext",
  col.area = gray[5],
  col.mean = red[7],
  col.percentiles = gray[5],
  relabel = NULL,
  strip.size = NULL,
  ...
)

Arguments

runs	charater vector with run rootname (e.g. c("run1","run2","run3"))
path	directory where runs reside
file.ext	file extension of the run.ext file. Defaults to ".ext"
col.area	polygon color of the density plot
col.mean	color of the mean line
col.percentiles	color of the percentile lines
relabel	user-specified labels appearing in the Lattice strips
strip.size	scalar to for the strip size in case strip text is too small ortoo large
...	graphical arguments passed on to the lattice plots

Value

Lattice graph with the distributions of the MCMC Bayesian OFV, supplied with mean line and 2.5th and 97.5th percentiles

See Also

read.ext

Examples

## when there is no Bayesian estimation
nm.modeltrail.graph(runs = c("example1","example2")
                    , relabel = c("structural model", "final covariate model")
                    , file.ext = ".mext"
                    , path = getOption("qpExampleDir")
)

qPharmetra/qpToolkit documentation built on May 24, 2023, 8:52 a.m.