CRAN/E | IsingFit

IsingFit

Fitting Ising Models Using the ELasso Method

Installation

About

This network estimation procedure eLasso, which is based on the Ising model, combines l1-regularized logistic regression with model selection based on the Extended Bayesian Information Criterion (EBIC). EBIC is a fit measure that identifies relevant relationships between variables. The resulting network consists of variables as nodes and relevant relationships as edges. Can deal with binary data.

Copyright see file COPYRIGHTS

Key Metrics

Version 0.4
R ≥ 3.0.0
Published 2023-10-03 177 days ago
Needs compilation? no
License GPL-2
CRAN checks IsingFit results

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Maintainer

Maintainer

Sacha Epskamp

mail@sachaepskamp.com

Authors

Claudia van Borkulo
Sacha Epskamp;
Alexander Robitzsch
Mihai Alexandru Constantin

Material

README
NEWS
Reference manual
Package source

In Views

Psychometrics

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

IsingFit archive

Depends

R ≥ 3.0.0

Imports

qgraph
Matrix
glmnet

Suggests

IsingSampler

Reverse Imports

bootnet
NetworkComparisonTest
NetworkToolbox

Reverse Suggests

Isinglandr