Groupinfo

A m*p matrix which contains m different p-dimensional models. All the elements are either 0 or 1.

A vector with m elements which represent each model's frequency in X.

The number of variate in the model

A vector containing p elements with either 1 or 0 value and must be found in X. Default is the model with the highest frequency.

Anchor.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>.

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

Description

Usage

Arguments

Value