MRIaggr (version 1.1.5)

plotCv_fMM: Graphical display of the convergence criteria

Description

Graphical display of the convergence criteria using the result of fMMalgo algorithm.

Usage

plotCv_fMM(res.EM, window=FALSE,
    filename="EM.traceLv", width=480, height=480, path=NULL, unit="px", res=NA)

Arguments

res.EM

The result of the fMMalgo or the launcher_fMM function.

window

Display the graphics in the current graphics device (F), in a new device (T), or save it in a png/eps/svg file ("png" / "esp" / "png"). NULL indicates no display.

filename

Name of the file (without the extension) where the plot should be saved. character. Ignored if window is not png/eps/svg.

width

the width of the device. numeric. Ignored if window is not png/eps/svg.

height

the width of the device. numeric. Ignored if window is not png/eps/svg.

path

the directory where the plot file will be created. character. Default is NULL corresponding to the current working directory.

unit

the units in which height and width are given. Can be "px", "in", "cm" or "mm". Default is "px".

res

the nominal resolution in ppi which will be recorded in the bitmap file, if a positive integer. numeric. Default is NA.

Value

• A list containing :
• diff_lv
  a vector indicating the evolution of the likelihood between two consecutive steps.
• test.croissance
  a logical testing the monotonicity of the likelihood across steps.
• diff_lv_completee
  a vector indicating the evolution of the completed likelihood between two consecutive steps.
• test.croissance_completee
  a logical testing the monotonicity of the completed likelihood across steps.

Examples

data(Simulation_data,package="fMMseg")

res_EMbase <- launcher_fMM(G=3,data=Simulation_data,
                          var_reg="Y",family=gaussian(link="identity"),
                          epsilon=5*10^{-3})

plotCv_fMM(res_EMbase)