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ggsmc

0.2.0

Visualising Output from Sequential Monte Carlo and Ensemble-Based Methods

0packages depend
4.3Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Richard G EverittFirst published 2024-07-272 releasesCRAN page ↗GitHub ↗

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.

Install

Health

CRAN checks
13OK
Slowest check: 8.2 min · r-oldrel-macos-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
3
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-06-08
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 120 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
not tracked
Documented parameters
100%
Return-value docs
100%
References docs
0%

Downloads

4.3K
CRAN downloads in the past year
Rank #9,554 · ~12/day · ~357/mo
Daily download trend is not available in this view yet.
17130 days
97390 days
4.3K1 year
Compare downloads with other packages →
Also on124 r2u23 autocran

Repository

Repository
0Stars
0Forks
3Open issues
0Open PRs
0Releases
Last activity 2025-11-12

Repository practices

Upstream repositoryBeta

3 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/richardgeveritt/ggsmc on 2026-08-16.

Continuous integration (1)
GitHub Actions
CRAN release process (1)
cran-comments.md
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
6 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.50
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (1)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Listed in earlier versions (1)
no longer listed · 0.1.2.0 to 0.2.0
Package Timeline

2 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.2.0Latest
    2025-11-13 · current release · diff ↗
  • unarchivedReturned to CRAN
    2025-11-13
  • archivedRemoved from CRAN
    2025-07-05
    issues were not corrected in time
  • R
    R 4.5.0 released · 2025-04-11
  • 0.1.2.0
    2024-07-27
  • R
    R 4.4.0 released · 2024-04-24

Package metadata

First published
2024-07-27
Total releases
2 / 2 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 3.50
Bundled data
455 KB / 4 files
Download size
826 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ggsmc")
Everitt, R. G. (2025). ggsmc: Visualising Output from Sequential Monte Carlo and Ensemble-Based Methods (Version 0.2.0) [Computer software]. https://doi.org/10.32614/CRAN.package.ggsmc

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for ggsmc version 0.2.0 [Data set]. HJJB, LLC. Data release v2026-08-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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