The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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 |
Please use the canonical form https://CRAN.R-project.org/package=BoltzMM to link to this page.
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.
Health stats visible at Monitor.