ggsmc
Visualising Output from Sequential Monte Carlo and Ensemble-Based Methods
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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.2.0 |
rolling source/ R- | ggsmc_0.2.0.tar.gz |
826.7 KiB |
0.2.0 |
rolling linux/jammy R-4.5 | ggsmc_0.2.0.tar.gz |
1.0 MiB |
0.2.0 |
rolling linux/noble R-4.5 | ggsmc_0.2.0.tar.gz |
1.0 MiB |
0.2.0 |
latest source/ R- | ggsmc_0.2.0.tar.gz |
826.7 KiB |
0.2.0 |
latest linux/jammy R-4.5 | ggsmc_0.2.0.tar.gz |
1.0 MiB |
0.2.0 |
latest linux/noble R-4.5 | ggsmc_0.2.0.tar.gz |
1.0 MiB |
0.2.0 |
2026-04-23 source/ R- | ggsmc_0.2.0.tar.gz |
826.7 KiB |
0.2.0 |
2026-04-09 windows/windows R-4.5 | ggsmc_0.2.0.zip |
1.0 MiB |
0.1.2.0 |
2025-04-20 source/ R- | ggsmc_0.1.2.0.tar.gz |
825.7 KiB |