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 |
Reference manual: | BoltzMM.pdf |
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 |
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