| animate_density | An animated density of a single variable across targets. |
| animate_histogram | An animated histogram of a single variable across targets. |
| animate_reveal_time_series | Plot animated line graph showing parameter value vs dimension (revealed in the animation) from algorithm output. |
| animate_scatter | A histogram of a single variable from a single target. |
| animate_time_series | Plot animated line graph showing parameter value vs dimension across targets from algorithm output. |
| cwna_data | Data generated from a constant velocity (or continuous white noise acceleration, CWNA) model for 20 time steps. |
| lv_output | 10000 simulations from a stochastic Lotka-Volterra model, assigned weights according to a Gaussian approximate Bayesian computation kernel with tolerance equal to 50. |
| matrix2tidy | Convert IS, SMC or EnK output stored as a matrix to tidy format. |
| mixture_25_particles | The output of an SMC sampler where the initial distribution is a Gaussian and the final target is a mixture of Gaussians. 25 particles were used, with an adaptive method to determine the sequence of targets, and a Metropolis-Hastings move to move the particles at each step. |
| plot_density | A density of a single variable. |
| plot_genealogy | Plot an SMC or EnK genealogy from algorithm output. |
| plot_histogram | A histogram of a single variable. |
| plot_scatter | A histogram of a single variable from a single target |
| plot_time_series | Plot line graph showing parameter value vs dimension from algorithm output. |
| sir_cwna_model | The output of a bootstrap particle filter on the 'cwna_data'. The output consists of 100 particles over 20 time steps. |