Package: SAutomata 0.1.0

Muhammad Kashif Hanif
SAutomata: Inference and Learning in Stochastic Automata
Machine learning provides algorithms that can learn from data and make inferences or predictions. Stochastic automata is a class of input/output devices which can model components. This work provides implementation an inference algorithm for stochastic automata which is similar to the Viterbi algorithm. Moreover, we specify a learning algorithm using the expectation-maximization technique and provide a more efficient implementation of the Baum-Welch algorithm for stochastic automata. This work is based on Inference and learning in stochastic automata was by Karl-Heinz Zimmermann(2017) <doi:10.12732/ijpam.v115i3.15>.
Authors:
SAutomata_0.1.0.tar.gz
SAutomata_0.1.0.tar.gz(r-4.5-noble)SAutomata_0.1.0.tar.gz(r-4.4-noble)
SAutomata_0.1.0.tgz(r-4.4-emscripten)SAutomata_0.1.0.tgz(r-4.3-emscripten)
SAutomata.pdf |SAutomata.html✨
SAutomata/json (API)
# Install 'SAutomata' in R: |
install.packages('SAutomata', repos = 'https://cloud.r-project.org') |
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:a3a3572abe. Checks:3 OK. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Mar 13 2025 |
R-4.5-linux | OK | Mar 13 2025 |
R-4.4-linux | OK | Mar 13 2025 |
Exports:BaumWelchinitSASbackwardscoresSforwardTOC.sampleData
Dependencies:
Citation
To cite package ‘SAutomata’ in publications use:
Hanif M, Sarwar M, Ahmad R, Ahmad Z, Zimmermann K (2018). SAutomata: Inference and Learning in Stochastic Automata. R package version 0.1.0, https://CRAN.R-project.org/package=SAutomata.
Corresponding BibTeX entry:
@Manual{, title = {SAutomata: Inference and Learning in Stochastic Automata}, author = {Muhammad Kashif Hanif and Muhammad Umer Sarwar and Rehman Ahmad and Zeeshan Ahmad and Karl-Heinz Zimmermann}, year = {2018}, note = {R package version 0.1.0}, url = {https://CRAN.R-project.org/package=SAutomata}, }