ggsmc
0.2.0Visualising Output from Sequential Monte Carlo and Ensemble-Based Methods
Overview
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
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-06-0812 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- not tracked
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 0%
Downloads
Repository
Repository practices
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.
Dependencies
Nothing depends on this yet.
Code & Tests
Datasets
People & History
2 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 0.2.0Latest
- unarchivedReturned to CRAN2025-11-13
- archivedRemoved from CRAN2025-07-05issues were not corrected in time
- RR 4.5.0 released · 2025-04-11
- 0.1.2.02024-07-27
- RR 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")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.
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.