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plotMCMC

Plot iterations and convergence for the conditional distribution task.

Usage

R
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

R
  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()
R

#> TableGrob (1 x 1) "arrange": 1 grobs
#>   z     cells    name            grob
#> 1 1 (1-1,1-1) arrange gtable[arrange]
  
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