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ggsmc
View on CRAN: Click
here
Download and install ggsmc package within the R console
Install from CRAN:
install.packages("ggsmc")
Install from Github:
library("remotes")
install_github("cran/ggsmc")
Install by package version:
library("remotes")
install_version("ggsmc", "0.1.2.0")
Attach the package and use:
library("ggsmc")
Maintained by
Richard G Everitt
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.ggsmc . https://github.com/richardgeveritt/ggsmc/issues . https://github.com/richardgeveritt/ggsmc . https://richardgeveritt.github.io/ggsmc/ . ggsmc results . ggsmc.pdf . Visualising the output of Monte Carlo methods with ggsmc . ggsmc_0.1.2.0.tar.gz . ggsmc_0.1.2.0.zip . ggsmc_0.1.2.0.zip . ggsmc_0.1.2.0.zip . ggsmc_0.1.2.0.tgz . ggsmc_0.1.2.0.tgz . ggsmc_0.1.2.0.tgz . ggsmc_0.1.2.0.tgz . ggsmc_0.1.2.0.tgz . ggsmc_0.1.2.0.tgz . https://CRAN.R-project.org/package=ggsmc .
First Published: 2024-07-27
Latest Update: 2024-07-27
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.
How to cite:
Richard G Everitt (2024). ggsmc: Visualising Output from Sequential Monte Carlo Samplers and Ensemble-Based Methods. R package version 0.1.2.0, https://cran.r-project.org/web/packages/ggsmc. Accessed 17 Feb. 2025.
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