ggsmc: Visualising Output from Sequential Monte Carlo andEnsemble-Based Methods
Functions for plotting, and animating, the output of importance samplers, sequential Monte Carlo samplers (SMC) and ensemble-based methods. The package can be used to plot and animate histograms, densities, scatter plots and time series, and to plot the genealogy of an SMC or ensemble-based algorithm. These functions all rely on algorithm output to be supplied in tidy format. A function is provided to transform algorithm output from matrix format (one Monte Carlo point per row) to the tidy format required by the plotting and animating functions.
| Version: | 0.2.0 |
| Depends: | R (≥ 3.50) |
| Imports: | poorman,ggplot2,gganimate |
| Suggests: | knitr,rmarkdown,testthat |
| Published: | 2025-11-13 |
| DOI: | 10.32614/CRAN.package.ggsmc |
| Author: | Richard G Everitt [aut, cre] |
| Maintainer: | Richard G Everitt <richard.g.everitt at gmail.com> |
| BugReports: | https://github.com/richardgeveritt/ggsmc/issues |
| License: | MIT + fileLICENSE |
| URL: | https://github.com/richardgeveritt/ggsmc,https://richardgeveritt.github.io/ggsmc/ |
| NeedsCompilation: | no |
| Materials: | README,NEWS |
| CRAN checks: | ggsmc results |
Documentation:
| Reference manual: | ggsmc.html ,ggsmc.pdf |
| Vignettes: | Visualising the output of Monte Carlo methods with ggsmc (source,R code) |
Downloads:
| Package source: | ggsmc_0.2.0.tar.gz |
| Windows binaries: | r-devel:ggsmc_0.2.0.zip, r-release:ggsmc_0.2.0.zip, r-oldrel:ggsmc_0.2.0.zip |
| macOS binaries: | r-release (arm64):ggsmc_0.2.0.tgz, r-oldrel (arm64):ggsmc_0.2.0.tgz, r-release (x86_64):ggsmc_0.2.0.tgz, r-oldrel (x86_64):ggsmc_0.2.0.tgz |
| Old sources: | ggsmc archive |
Linking:
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