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rIsing  

High-Dimensional Ising Model Selection
View on CRAN: Click here


Download and install rIsing package within the R console
Install from CRAN:
install.packages("rIsing")

Install from Github:
library("remotes")
install_github("cran/rIsing")

Install by package version:
library("remotes")
install_version("rIsing", "0.1.0")



Attach the package and use:
library("rIsing")
Maintained by
Pratik Ramprasad
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-11-25
Latest Update: 2016-11-25
Description:
Fits an Ising model to a binary dataset using L1 regularized logistic regression and extended BIC. Also includes a fast lasso logistic regression function for high-dimensional problems. Uses the 'libLBFGS' optimization library by Naoaki Okazaki.
How to cite:
Pratik Ramprasad (2016). rIsing: High-Dimensional Ising Model Selection. R package version 0.1.0, https://cran.r-project.org/web/packages/rIsing. Accessed 05 Mar. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited rIsing R package
View rIsing citation profile
Other R packages that rIsing depends, imports, suggests or enhances
Complete documentation for rIsing
Functions, R codes and Examples using the rIsing R package
Some associated functions: ising . logreg . rIsing . 
Some associated R codes: RcppExports.R . ising.R . logreg.R . rIsing.R .  Full rIsing package functions and examples
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