Package: rIsing
Type: Package
Title: High-Dimensional Ising Model Selection
Version: 0.1.0
Authors@R: c(person("Pratik", "Ramprasad", email = "pratik.ramprasad@gmail.com", role = c("aut", "cre")),
             person("Jorge", "Nocedal", role = c("ctb", "cph")),
             person("Naoaki", "Okazaki", role = c("ctb", "cph")))
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.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.1.0)
Imports: Rcpp (>= 0.12.8), data.table (>= 1.9.6)
Suggests: igraph, IsingSampler
LinkingTo: Rcpp, RcppEigen (>= 0.3.2.9)
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2016-11-24 15:30:45 UTC; prati
Author: Pratik Ramprasad [aut, cre],
  Jorge Nocedal [ctb, cph],
  Naoaki Okazaki [ctb, cph]
Maintainer: Pratik Ramprasad <pratik.ramprasad@gmail.com>
Repository: CRAN
Date/Publication: 2016-11-25 08:43:07
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-27 01:56:00 UTC; unix
Archs: rIsing.so.dSYM
