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
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 + 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: ggsmc_0.1.2.0.zip, r-release: ggsmc_0.1.2.0.zip, r-oldrel: ggsmc_0.1.2.0.zip
macOS binaries:	r-release (arm64): ggsmc_0.1.2.0.tgz, r-oldrel (arm64): ggsmc_0.1.2.0.tgz, r-release (x86_64): ggsmc_0.1.2.0.tgz, r-oldrel (x86_64): ggsmc_0.1.2.0.tgz

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