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VDSM (version 0.1.1)

Visualization of Distribution of Selected Model

Description

Although model selection is ubiquitous in scientific discovery, the stability and uncertainty of the selected model is often hard to evaluate. How to characterize the random behavior of the model selection procedure is the key to understand and quantify the model selection uncertainty. This R package offers several graphical tools to visualize the distribution of the selected model. For example, Gplot(), Hplot(), VDSM_scatterplot() and VDSM_heatmap(). To the best of our knowledge, this is the first attempt to visualize such a distribution. About what distribution of selected model is and how it work please see Qin,Y.and Wang,L. (2021) "Visualization of Model Selection Uncertainty" .

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Version

Install

install.packages('VDSM')

Monthly Downloads

181

Version

0.1.1

License

GPL (>= 2)

Maintainer

Linna Wang

Last Published

April 16th, 2021

Functions in VDSM (0.1.1)

VDSM_heatmap

VDSM-heatmap.
VDSM_scatterplot

VDSM-Scatterplot.
examplef

examplef
Gplot

Gplot.
CheckInput

Check if the input is valid or not
VDSM_scatter_heat

VDSM-Scatter-heatmap-info
Hplot

Hplot.
Groupinfo

Group the models according to their Hamming distance and Model complexity to the anchor model
exampleX

exampleX
DSM_plot

DSM_plot plot the naive visualization of the distribution of selected model