isingdata

The <code>isingdata</code> data list contains 2 variables. One is 5000 samples from the ising model on the 10-by-10 grid using Gibbs sampling. The other is the groupdtruth parameter.

datasets

Efficient procedures for fitting the regularization path
for linear, binomial, multinomial, Ising and Potts models with lasso,
group lasso or column lasso(only for multinomial) penalty.
The package uses Linearized Bregman Algorithm to solve the
regularization path through iterations. Bregman Inverse Scale Space Differential
Inclusion solver is also provided for linear model with lasso penalty.

Jiechao Xiong

Libra

Linearized Bregman Algorithms for Generalized Linear Models

isingdata function

This data list contains the following two variables:<dl class="dl-horizontal">
 <dt>J</dt><dd>a 100-by-100 matrix, the groudtruth of ising model.</dd>
 <dt>X</dt><dd>a 5000-by-100 matrix, each entry is in -1,1.</dd>
 </dl>

Format

Simulation data for Ising model — isingdata

This data list contains the following two variables:<dl class='dl-horizontal'>
 <dt>J</dt><dd>a 100-by-100 matrix, the groudtruth of ising model.</dd>
 <dt>X</dt><dd>a 5000-by-100 matrix, each entry is in -1,1.</dd>
 </dl>

isingdata: Simulation data for Ising model

Description

Arguments

Format