plot_lsr

Heatmap Plot of the mixedLSR Coefficient Matrices

Mixed, low-rank, and sparse multivariate regression ('mixedLSR') provides tools for performing mixture regression when
the coefficient matrix is low-rank and sparse. 'mixedLSR' allows subgroup identification by alternating optimization
with simulated annealing to encourage global optimum convergence. This method is data-adaptive, automatically
performing parameter selection to identify low-rank substructures in the coefficient matrix.

Alexander White

mixedLSR

Mixed, Low-Rank, and Sparse Multivariate Regression on
High-Dimensional Data

Sha Cao

Yi Zhao

Chi Zhang

plot_lsr function

<dl><dt>a</dt>
<dd>A coefficient matrix from mixed_lsr model.</dd>
<dt>abs</dt>
<dd>A boolean for taking the absolute value of the coefficient matrix.</dd></dl>

Arguments

Heatmap Plot of the mixedLSR Coefficient Matrices — plot_lsr

<dl>

<dt>a</dt>
<dd>A coefficient matrix from mixed_lsr model.</dd>


<dt>abs</dt>
<dd>A boolean for taking the absolute value of the coefficient matrix.</dd>

</dl>

plot_lsr: Heatmap Plot of the mixedLSR Coefficient Matrices

Description

Usage

Value

Arguments

Examples