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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 |
| 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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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.
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