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BoltzMM: Boltzmann Machines with MM Algorithms

Provides probability computation, data generation, and model estimation for fully-visible Boltzmann machines. It follows the methods described in Nguyen and Wood (2016a) <doi:10.1162/NECO_a_00813> and Nguyen and Wood (2016b) <doi:10.1109/TNNLS.2015.2425898>.

Version: 0.1.4
Depends: R (≥ 2.10)
Imports: Rcpp
LinkingTo: Rcpp, RcppArmadillo, BH
Suggests: testthat, knitr, rmarkdown, bnstruct
Published: 2019-02-14
DOI: 10.32614/CRAN.package.BoltzMM
Author: Andrew Thomas Jones, Hien Duy Nguyen, and Jessica Juanita Bagnall
Maintainer: Andrew Thomas Jones <andrewthomasjones at gmail.com>
License: GPL-3
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: BoltzMM results

Documentation:

Reference manual: BoltzMM.pdf

Downloads:

Package source: BoltzMM_0.1.4.tar.gz
Windows binaries: r-devel: BoltzMM_0.1.4.zip, r-release: BoltzMM_0.1.4.zip, r-oldrel: BoltzMM_0.1.4.zip
macOS binaries: r-release (arm64): BoltzMM_0.1.4.tgz, r-oldrel (arm64): BoltzMM_0.1.4.tgz, r-release (x86_64): BoltzMM_0.1.4.tgz, r-oldrel (x86_64): BoltzMM_0.1.4.tgz
Old sources: BoltzMM archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.