plotMCMC
[Monolix] Plot MCMC convergence
Plot iterations and convergence for the conditional distribution task.
Usage
plotMCMC(settings = list())
Arguments
- settings
a list of optional settings:
grid
(logical) add (TRUE) / remove (FALSE) plot grid (default TRUE).ncol
(integer) number of columns when facet = TRUE (default 4).fontsize
(integer) Plot text font size.
Value
A TableGrob object if multiple plots (output of grid.arrange)
Examples
initializeLixoftConnectors(software = "monolix")
project <- file.path(getDemoPath(), "1.creating_and_using_models",
"1.1.libraries_of_models", "theophylline_project.mlxtran")
loadProject(project)
runPopulationParameterEstimation()
runConditionalDistributionSampling()
plotMCMC()
#> TableGrob (1 x 1) "arrange": 1 grobs
#> z cells name grob
#> 1 1 (1-1,1-1) arrange gtable[arrange]