rIsing: High-Dimensional Ising Model Selection
Version 0.1.0

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.

AuthorPratik Ramprasad [aut, cre], Jorge Nocedal [ctb, cph], Naoaki Okazaki [ctb, cph]
Date of publication2016-11-25 08:43:07
MaintainerPratik Ramprasad <pratik.ramprasad@gmail.com>
LicenseGPL (>= 2)
Version0.1.0
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("rIsing")

Popular man pages

ising: High-Dimensional Ising Model Selection
logreg: L1 Regularized Logistic Regression
rIsing: rIsing: High-Dimensional Ising Model Selection.
See all...

All man pages Function index File listing

Man pages

ising: High-Dimensional Ising Model Selection
logreg: L1 Regularized Logistic Regression
rIsing: rIsing: High-Dimensional Ising Model Selection.

Functions

ising Man page Source code
logreg Man page Source code
logreg1 Source code
logreg2 Source code
logreg_cpp Source code
logreg_cpp2 Source code
logreg_ising Source code
logreg_setup Source code
rIsing Man page
rIsing-package Man page
regpath_ising Source code
symmetrize_mat Source code

Files

src
src/misc.h
src/lbfgs
src/lbfgs/arithmetic_sse_double.h
src/lbfgs/arithmetic_ansi.h
src/lbfgs/lbfgs.c
src/lbfgs/arithmetic_sse_float.h
src/lbfgs/lbfgs.h
src/logreg.cpp
src/RcppExports.cpp
NAMESPACE
R
R/rIsing.R
R/logreg.R
R/RcppExports.R
R/ising.R
MD5
DESCRIPTION
man
man/ising.Rd
man/rIsing.Rd
man/logreg.Rd
rIsing documentation built on May 19, 2017, 10:31 p.m.

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

Please suggest features or report bugs in the GitHub issue tracker.

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