resample_particle_y_samples: Resampling a particle set for y

In rchan26/hierarchicalFusion: Divide-and-Conquer Monte Carlo Fusion

Resampling a particle set for y

Description

Resamples the particle set for the samples for y

Usage

resample_particle_y_samples(
  N = particle_set$N,
  particle_set,
  multivariate,
  resampling_method = "multi",
  seed = NULL
)

Arguments

N	number of samples (default is particle_set$N)
multivariate	logical value indicating if the particles are multivariate (TRUE) or not (FALSE)
resampling_method	method to be used in resampling, default is multinomial resampling ('multi'). Other choices are stratified resampling ('strat'), systematic resampling ('system'), residual resampling ('resid')
seed	seed number - default is NULL, meaning there is no seed

Value

resampled particle set. Returns the same set if it has already been resampled

Examples

particles <- create_particle(samples = rnorm(10, 0, 1), multivariate = FALSE)
particles <- resample_particle_y_samples(particle_set = particles,
                                 multivariate = FALSE,
                                 resampling_method = 'resid',
                                 seed = 21)

rchan26/hierarchicalFusion documentation built on Sept. 11, 2022, 10:30 p.m.