1. ggsmc::cwna_data
    Data generated from a constant velocity (or continuous white noise acceleration, CWNA) model for 20 time steps.
    csv| xlsx| json| ndjson| rda| rds
    data.frame|20 x 4
  2. ggsmc::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.
    csv| xlsx| json| ndjson| rda| rds
    data.frame|320000 x 15
  3. ggsmc::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.
    csv| xlsx| json| ndjson| rda| rds
    data.frame|175 x 13
  4. ggsmc::sir_cwna_model
    The output of a bootstrap particle filter on the 'cwna_data'. The output consists of 100 particles over 20 time steps.
    csv| xlsx| json| ndjson| rda| rds
    data.frame|4000 x 13