Package: saturnin 1.1.1
saturnin: Spanning Trees Used for Network Inference
Bayesian inference of graphical model structures using spanning trees.
Authors:
saturnin_1.1.1.tar.gz
saturnin_1.1.1.zip(r-4.5)saturnin_1.1.1.zip(r-4.4)saturnin_1.1.1.zip(r-4.3)
saturnin_1.1.1.tgz(r-4.4-x86_64)saturnin_1.1.1.tgz(r-4.4-arm64)saturnin_1.1.1.tgz(r-4.3-x86_64)saturnin_1.1.1.tgz(r-4.3-arm64)
saturnin_1.1.1.tar.gz(r-4.5-noble)saturnin_1.1.1.tar.gz(r-4.4-noble)
saturnin_1.1.1.tgz(r-4.4-emscripten)saturnin_1.1.1.tgz(r-4.3-emscripten)
saturnin.pdf |saturnin.html✨
saturnin/json (API)
# Install 'saturnin' in R: |
install.packages('saturnin', repos = c('https://loicschwaller.r-universe.dev', 'https://cloud.r-project.org')) |
- data_gaussian - Gaussian data.
- data_multinomial - Multinomial data.
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 9 years agofrom:da136ac568. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 13 2024 |
R-4.5-win-x86_64 | OK | Nov 13 2024 |
R-4.5-linux-x86_64 | OK | Nov 13 2024 |
R-4.4-win-x86_64 | OK | Nov 13 2024 |
R-4.4-mac-x86_64 | OK | Nov 13 2024 |
R-4.4-mac-aarch64 | OK | Nov 13 2024 |
R-4.3-win-x86_64 | OK | Nov 13 2024 |
R-4.3-mac-x86_64 | OK | Nov 13 2024 |
R-4.3-mac-aarch64 | OK | Nov 13 2024 |
Exports:account.for.prioredge.problweights_gaussianlweights_multinomialprior_unif_dirichletweights_gausscopula
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Spanning Trees Used for Network Inference | saturnin-package saturnin |
Accounting for prior edge appearance probability. | account.for.prior |
Gaussian data. | data_gaussian |
Multinomial data. | data_multinomial |
Computation of posterior edge appearance probabilities in a random tree. | edge.prob |
Computation of the log-weight matrix in a gaussian setting. | lweights_gaussian |
Computation of the log-weight matrix in a multinomial setting. | lweights_multinomial |
Uniform prior counts for the hyper-Dirichlet distribution. | prior_unif_dirichlet |
Computation of the weight matrix in a gaussian copula setting. | weights_gausscopula |