ggsmc: Visualising Output from Sequential Monte Carlo Samplers and Ensemble-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: | 0.1.2.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | poorman, ggplot2, gganimate |
| Suggests: | knitr, rmarkdown, testthat |
| Published: | 2024-07-27 |
| 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 + file LICENSE |
| URL: | https://github.com/richardgeveritt/ggsmc, https://richardgeveritt.github.io/ggsmc/ |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | ggsmc results |
Documentation:
| Reference manual: | ggsmc.pdf |
| Vignettes: |
Visualising the output of Monte Carlo methods with ggsmc |
Downloads:
| Package source: | ggsmc_0.1.2.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available |
Linking:
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