Package index

All functions

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.