plot.tiger


An object with S3 class <code>"tiger"</code> 



If <code>align = FALSE</code>, 3 plotted graphs are aligned


align


Plot sparsity level information and 3 typical sparse graphs from the graph path.


The package "camel" provides the implementation of a family of high-dimensional calibrated machine learning tools, including (1) LAD, SQRT Lasso and Calibrated Dantzig Selector for estimating sparse linear models; (2) Calibrated Multivariate Regression for estimating sparse multivariate linear models; (3) Tiger, Calibrated Clime for estimating sparse Gaussian graphical models. We adopt the combination of the dual smoothing and monotone fast iterative soft-thresholding algorithm (MFISTA). The computation is memory-optimized using the sparse matrix output, and accelerated by the path following and active set tricks.

plot.tiger: Plot function for S3 class "camel.tiger"

Description

Usage

Arguments

See Also