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

# 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:

openblas cpp

3.00 score 1 stars 20 scripts 201 downloads 11 exports 3 dependencies

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

Target	Result	Time
linux-devel-arm64	OK	156
linux-devel-x86_64	OK	150
source / vignettes	OK	199
linux-release-arm64	OK	136
linux-release-x86_64	OK	171
macos-release-arm64	OK	117
macos-release-x86_64	OK	337
macos-oldrel-arm64	OK	116
macos-oldrel-x86_64	OK	202
windows-devel	OK	182
windows-release	OK	141
windows-oldrel	OK	118
wasm-release	OK	121

Exports:allpfvbm fitfvbm fvbmcov fvbmHess fvbmpartiald fvbmstderr fvbmtests log_pl_calc marginpfvbm pfvbm rfvbm

Dependencies:BH Rcpp RcppArmadillo

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Probability mass function of a fully-visible Boltzmann machine evaluated for all possible vectors.	allpfvbm
BoltzMM: A package for probability computation, data generation, and model estimation of fully-visible Boltzmann machines.	BoltzMM
Maximum pseudolikelihood estimation of a fully-visible Boltzmann machine.	fitfvbm
Sandwich estimator of the covariance matrix for a fitted fully-visible Boltzmann machine.	fvbmcov
Hessian of the log-pseudolikelihood function for a fitted fully-visible Boltzmann machine.	fvbmHess
Partial derivatives of the log-pseudolikelihood function for a fitted fully-visible Boltzmann machine.	fvbmpartiald
Standard errors for the parameter elements of a fitted fully-visible Boltzmann machine.	fvbmstderr
Hypothesis testing for a fully-visible Boltzmann machine.	fvbmtests
Compute the log pseudolikelihood	log_pl_calc
Marginal probability function for a fully-visible Boltzmann machine.	marginpfvbm
Probability mass function of a fully-visible Boltzmann machine evaluated for an individual vector.	pfvbm
Random data generation from a fully-visible Boltzmann machine.	rfvbm
Senate voting data from the 45th Australian Parliament.	senate