ggsmc

Visualising output from SMC samplers and EnK methods.

https://github.com/richardgeveritt/ggsmc

Science Score: 26.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (8.1%) to scientific vocabulary
Last synced: 9 months ago · JSON representation

Repository

Visualising output from SMC samplers and EnK methods.

Basic Info
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 3
  • Releases: 0
Created almost 3 years ago · Last pushed 12 months ago
Metadata Files
Readme License

README.md

ggsmc

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.

The package is available on CRAN and can be installed using:

install.packages("ggsmc")

Examples of how to use the package can be found in this vignette.

<!-- badges: start --> R-CMD-check <!-- badges: end -->

Owner

  • Name: Richard Everitt
  • Login: richardgeveritt
  • Kind: user
  • Company: University of Warwick

Associate Professor in Statistics at the University of Warwick.

GitHub Events

Total
  • Issues event: 3
  • Push event: 14
Last Year
  • Issues event: 3
  • Push event: 14

Packages

  • Total packages: 1
  • Total downloads:
    • cran 453 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 1
  • Total maintainers: 1
cran.r-project.org: ggsmc

Visualising Output from Sequential Monte Carlo Samplers and Ensemble-Based Methods

  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 453 Last month
Rankings
Dependent packages count: 28.5%
Dependent repos count: 35.1%
Average: 50.1%
Downloads: 86.7%
Maintainers (1)
Last synced: 11 months ago

Dependencies

DESCRIPTION cran
  • R >= 2.10 depends
  • dplyr * imports
  • gganimate * imports
  • ggplot2 * imports
  • gifski * imports
  • stringr * imports
  • tidyr * imports
  • knitr * suggests
  • rmarkdown * suggests
  • testthat * suggests