Package: BoltzMM 0.1.5

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>.

Authors:Andrew Thomas Jones [aut, cre], Hien Duy Nguyen [aut], Jessica Juanita Bagnall [aut]

BoltzMM_0.1.5.tar.gz
BoltzMM_0.1.5.zip(r-4.7)BoltzMM_0.1.5.zip(r-4.6)BoltzMM_0.1.5.zip(r-4.5)
BoltzMM_0.1.5.tgz(r-4.6-x86_64)BoltzMM_0.1.5.tgz(r-4.6-arm64)BoltzMM_0.1.5.tgz(r-4.5-x86_64)BoltzMM_0.1.5.tgz(r-4.5-arm64)
BoltzMM_0.1.5.tar.gz(r-4.7-arm64)BoltzMM_0.1.5.tar.gz(r-4.7-x86_64)BoltzMM_0.1.5.tar.gz(r-4.6-arm64)BoltzMM_0.1.5.tar.gz(r-4.6-x86_64)
BoltzMM_0.1.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
BoltzMM/json (API)

# Install 'BoltzMM' in R:
install.packages('BoltzMM', repos = c('https://andrewthomasjones.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/andrewthomasjones/boltzmm/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:
  • senate - Senate voting data from the 45th Australian Parliament.

On CRAN:

Conda:

openblascpp

3.04 score 1 stars 22 scripts 340 downloads 11 exports 3 dependencies

Last updated from:e512bad5d8. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK148
linux-devel-x86_64OK152
source / vignettesOK202
linux-release-arm64OK148
linux-release-x86_64OK138
macos-release-arm64OK84
macos-release-x86_64OK266
macos-oldrel-arm64OK84
macos-oldrel-x86_64OK287
windows-develOK145
windows-releaseOK113
windows-oldrelOK115
wasm-releaseOK151

Exports:allpfvbmfitfvbmfvbmcovfvbmHessfvbmpartialdfvbmstderrfvbmtestslog_pl_calcmarginpfvbmpfvbmrfvbm

Dependencies:BHRcppRcppArmadillo