Package: ggsmc
Type: Package
Title: Visualising Output from Sequential Monte Carlo and
        Ensemble-Based Methods
Version: 0.2.0
Authors@R: 
    person(given = c("Richard","G"),
           family = "Everitt",
           role = c("aut", "cre"),
           email = "richard.g.everitt@gmail.com",
           comment = c(ORCID = "0000-0002-0822-5648"))
Maintainer: Richard G Everitt <richard.g.everitt@gmail.com>
Description: 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.
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.2
URL: https://github.com/richardgeveritt/ggsmc,
        https://richardgeveritt.github.io/ggsmc/
BugReports: https://github.com/richardgeveritt/ggsmc/issues
Imports: poorman, ggplot2, gganimate
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
Depends: R (>= 3.50)
License: MIT + file LICENSE
NeedsCompilation: no
Packaged: 2025-11-11 12:42:56 UTC; richard
Author: Richard G Everitt [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-0822-5648>)
Repository: CRAN
Date/Publication: 2025-11-13 17:40:14 UTC
Built: R 4.6.0; ; 2026-01-24 04:19:56 UTC; windows
