Package: BoltzMM 0.1.4

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, Hien Duy Nguyen, and Jessica Juanita Bagnall

BoltzMM_0.1.4.tar.gz
BoltzMM_0.1.4.tar.gz(r-4.5-noble)BoltzMM_0.1.4.tar.gz(r-4.4-noble)
BoltzMM_0.1.4.tgz(r-4.4-emscripten)BoltzMM_0.1.4.tgz(r-4.3-emscripten)
BoltzMM.pdf |BoltzMM.html✨
BoltzMM/json (API)

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

Peer review:

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

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

1.93 score 17 scripts 243 downloads 10 exports 3 dependencies

Last updated 6 years agofrom:cc5d4596fb. Checks:OK: 1 NOTE: 1. Indexed: no.

TargetResultDate
Doc / VignettesOKOct 01 2024
R-4.5-linux-x86_64NOTEOct 01 2024

Exports:allpfvbmfitfvbmfvbmcovfvbmHessfvbmpartialdfvbmstderrfvbmtestsmarginpfvbmpfvbmrfvbm

Dependencies:BHRcppRcppArmadillo