Package: BayesMallowsSMC2 0.3.0
Oystein Sorensen
BayesMallowsSMC2: Nested Sequential Monte Carlo for the Bayesian Mallows Model
Provides nested sequential Monte Carlo algorithms for performing sequential inference in the Bayesian Mallows model, which is a widely used probability model for rank and preference data. The package implements the SMC2 (Sequential Monte Carlo Squared) algorithm for handling sequentially arriving rankings and pairwise preferences, including support for complete rankings, partial rankings, and pairwise comparisons. The methods are based on Sorensen (2025) <doi:10.1214/25-BA1564>.
Authors:
BayesMallowsSMC2_0.3.0.tar.gz
BayesMallowsSMC2_0.3.0.tar.gz(r-4.7-arm64)BayesMallowsSMC2_0.3.0.tar.gz(r-4.7-x86_64)BayesMallowsSMC2_0.3.0.tar.gz(r-4.6-arm64)BayesMallowsSMC2_0.3.0.tar.gz(r-4.6-x86_64)
BayesMallowsSMC2_0.3.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
BayesMallowsSMC2/json (API)
NEWS
| # Install 'BayesMallowsSMC2' in R: |
| install.packages('BayesMallowsSMC2', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- complete_rankings - Simulated Data
- mixtures - Simulated Two-Component Mixtures Data
- pairwise_preferences - Simulated Data with Pairwise Preferences
- partial_rankings - Simulated Data with Missing Values
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:6c15752adc. Checks:6 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 187 | ||
| linux-devel-x86_64 | OK | 182 | ||
| source / vignettes | OK | 247 | ||
| linux-release-arm64 | OK | 177 | ||
| linux-release-x86_64 | OK | 186 | ||
| wasm-release | OK | 151 |
Exports:compute_sequentiallyprecompute_topological_sortsset_hyperparametersset_smc_optionstrace_plot
Dependencies:clicpp11farverggplot2gluegtableisobandlabelinglifecycleR6rbibutilsRColorBrewerRcppRcppArmadilloRdpackrlangS7scalesvctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Simulated Data | complete_rankings |
| Compute the Bayesian Mallows model sequentially | compute_sequentially |
| Simulated Two-Component Mixtures Data | mixtures |
| Simulated Data with Pairwise Preferences | pairwise_preferences |
| Simulated Data with Missing Values | partial_rankings |
| Plot Posterior Distributions for BayesMallowsSMC2 Objects | plot.BayesMallowsSMC2 |
| Precompute All Topological Sorts | precompute_topological_sorts |
| Print Method for BayesMallowsSMC2 Objects | print.BayesMallowsSMC2 |
| Print Method for summary.BayesMallowsSMC2 Objects | print.summary.BayesMallowsSMC2 |
| Set hyperparameters | set_hyperparameters |
| Set SMC options | set_smc_options |
| Summary Method for BayesMallowsSMC2 Objects | summary.BayesMallowsSMC2 |
| Create Trace Plots for BayesMallowsSMC2 Objects | trace_plot |
