chooseB.intern {clusterMI} | R Documentation |
Tune the number of iterations for variable selection using varselbest
Description
Tune the number of iterations for variable selection using varselbest
Usage
chooseB.intern(
res.varselbest,
linewidth = 1,
linetype = "dotdash",
xlab = "B",
ylab = "Proportion",
graph = TRUE,
title = NULL
)
Arguments
res.varselbest |
an output from the varselbest function |
linewidth |
a numerical value setting the widths of lines |
linetype |
what type of plot should be drawn |
xlab |
a title for the x axis |
ylab |
a title for the y axis |
graph |
a boolean. If FALSE, no graphics are ploted. Default value is TRUE |
title |
the main title |
References
Bar-Hen, A. and Audigier, V. An ensemble learning method for variable selection: application to high dimensional data and missing values. ArXiv e-prints <arXiv:1808.06952>
[Package clusterMI version 1.5 Index]