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BoltzMM
View on CRAN: Click
here
Download and install BoltzMM package within the R console
Install from CRAN:
install.packages("BoltzMM")
Install from Github:
library("remotes")
install_github("cran/BoltzMM") Install by package version:
library("remotes")
install_version("BoltzMM", "0.1.5") Attach the package and use:
library("BoltzMM")
Maintained by
Andrew Thomas Jones
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-03-19
Latest Update: 2025-04-13
Description:
Provides probability computation, data generation,
and model estimation for fully-visible Boltzmann machines. It follows the methods
described in Nguyen and Wood (2016a)
and Nguyen and Wood (2016b) .
How to cite:
Andrew Thomas Jones (2018). BoltzMM: Boltzmann Machines with MM Algorithms. R package version 0.1.5, https://cran.r-project.org/web/packages/BoltzMM. Accessed 25 Jun. 2026.
Previous versions and publish date:
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Other R packages that BoltzMM depends,
imports, suggests or enhances
Complete documentation for BoltzMM
Functions, R codes and Examples using
the BoltzMM R package
Some associated functions: BoltzMM . allpfvbm . fitfvbm . fvbmHess . fvbmcov . fvbmpartiald . fvbmstderr . fvbmtests . marginpfvbm . pfvbm . rfvbm . senate .
Some associated R codes: BoltzMM.R . RcppExports.R . Full BoltzMM package functions and examples
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