Package: BoltzMM 0.1.5

Andrew Thomas Jones

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.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✨
card.svg |card.png
BoltzMM/json (API)
NEWS

# Install 'BoltzMM' in R:
install.packages('BoltzMM', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:
  • senate - Senate voting data from the 45th Australian Parliament.

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblascpp

2.00 score 20 scripts 196 downloads 11 exports 3 dependencies

Last updated from:4c7623c243. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK141
linux-devel-x86_64OK124
source / vignettesOK202
linux-release-arm64OK144
linux-release-x86_64OK152
wasm-releaseOK141

Exports:allpfvbmfitfvbmfvbmcovfvbmHessfvbmpartialdfvbmstderrfvbmtestslog_pl_calcmarginpfvbmpfvbmrfvbm

Dependencies:BHRcppRcppArmadillo