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:
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')) |
- 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.
Last updated 6 years agofrom:cc5d4596fb. Checks:OK: 1 NOTE: 1. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 30 2024 |
| R-4.5-linux-x86_64 | NOTE | Dec 30 2024 |
Exports:allpfvbmfitfvbmfvbmcovfvbmHessfvbmpartialdfvbmstderrfvbmtestsmarginpfvbmpfvbmrfvbm
Dependencies:BHRcppRcppArmadillo
