Visualization of Distribution of Selected Model

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" < https://homepages.uc.edu/~qinyn/VDSM/VDSM.html>.


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("VDSM")

0.1.1 by Linna Wang, 6 months ago


Browse source code at https://github.com/cran/VDSM


Authors: Linna Wang [aut, cre] , Yichen Qin [aut]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports ggplot2, plyr, dplyr, grid, viridis, gridExtra, knitr, stats

Suggests testthat


See at CRAN